Christopher Bishop

Technical Fellow

Publications

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- Accurate and scalable exchange-correlation with deep learning
  
  Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk Kooi, Sebastian Ehlert, Stephanie Lanius, K.J.H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel Bruinsma, Lin Huang, Xinran wei, Jose Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
  
  June 2025
  
  PDF Preprint Video Access Access Project
- Deep Learning: Foundations and Concepts
  
  Christopher Bishop, Hugh Bishop
  
  Published by Springer Cham | November 2023
  
  Publication DOI
- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
  Publication Video Github Project
- Exposing variation in climate change risk assessment
  
  Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
  
  AGU Fall Meeting | December 2015
  
  Accepted talk at 2015 Fall Meeting of American Geophysical Union
  
  Publication
- Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years
  
  Angela Simpson, Nevena Lazic, Danielle C. M. Belgrave, Phil Johnson, Christopher Bishop, Clare Mills, Adnan Custovic
  
  Journal of Allergy and Clinical Immunology | November 2015
  
  Publication Publication
- The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together
  
  Adnan Custovic, John Ainsworth , Hasan Arshad , Christopher Bishop, Iain Buchan, Paul Cullinan , Graham Devereux , John Henderson , John Holloway , Graham Roberts , Steve Turner , Ashley Woodcock , Angela Simpson
  
  Thorax | March 2015
  
  Publication Publication Publication
- Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
  
  Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
  
  Bulletin of the American Meteorological Society | October 2014
  
  Publication Publication Project
- Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
  
  Danielle C. M. Belgrave, Raquel Graneli, Angela Simpson, John Guiver, Christopher Bishop, Iain Buchan, A. John Henderson, Adnan Custovic
  
  PLOS Medicine | October 2014
  
  Publication Publication Project
- Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
  
  Bar Shalem, John Guiver, Christopher Bishop, Yoram Bachrach
  
  September 2014
  
  Publication Project
- Trajectories of Lung Function during Childhood
  
  Danielle C. M. Belgrave, Iain Buchan, Christopher Bishop, Lesley Lowe, Angela Simpson, Adnan Custovic
  
  American Journal of Respiratory and Critical Care Medicine | January 2014, Vol 189(9): pp. 1101-1109
  
  Publication Publication Project
- Artificial Life
  
  Christopher Bishop
  
  Life | January 2014
  
  Publication
- Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts
  
  N. Lazic, G. Roberts, A. Custovic, D. Belgrave, Christopher Bishop, John Winn, J.A. Curtin, S. Hasan Arshad, A. Simpson
  
  Allergy | June 2013, Vol 68(6): pp. 764
  
  Publication Publication Project
- Model-Based Machine Learning
  
  Christopher Bishop
  
  Philosophical Transactions of the Royal Society A | February 2013, Vol 371: pp. 1–17
  
  Publication Publication Github Project
- Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables
  
  Nevena Lazic, Christopher Bishop, John Winn
  
  Proceedings Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats) | January 2013
  
  Publication Project
- Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition
  
  Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop
  
  Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012
  
  ISBN: ISBN-13 978-88-207-5364-1
  
  Publication
- Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting
  
  Markus Svensén, Qing Xu, David Stern, Steve Hanks, Christopher Bishop
  
  In Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD), San Diego, USA | August 2011
  
  Publication
- A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma
  
  Christopher Bishop
  
  Proceedings of the International Workshop of Statistical Modelling, Valencia | January 2011
  
  ISBN: 978-84-694-5129-8
  
  Publication
- Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study
  
  Angela Simpson, Vincent Y. Tan, John Winn, Markus Svensén, Christopher Bishop, David Heckerman, Iain Buchan, Adnan Custovic
  
  American Journal of Respiratory and Critical Care Medicine | February 2010, Vol 181: pp. 1200-1206
  
  Publication Publication Project
- A Unified Modeling Approach to Data-Intensive Healthcare
  
  Iain Buchan, John Winn, Christopher Bishop
  
  The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
  
  Publication
- A New Framework for Machine Learning
  
  Christopher Bishop
  
  In computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, June 2008 Lecture Notes in Computer Science | June 2008
  
  Publication
- Generative or Discriminative? Getting the Best of Both Worlds
  
  Christopher Bishop, Julia Lasserre
  
  Bayesian Statistics | January 2007, Vol 8: pp. 3–23
  
  Publication
- Discriminative Writer Adaptation
  
  Martin Szummer, Christopher Bishop
  
  10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2006
  
  Publication
- Principled Hybrids of Generative and Discriminative Models
  
  Julia A. Lasserre, Christopher Bishop, Tom Minka
  
  IEEE Conference on Computer Vision and Pattern Recognition | June 2006
  
  Publication
- Pattern Recognition and Machine Learning
  
  Christopher Bishop
  
  Published by Springer | January 2006
  
  PDF Publication
- Generative versus Discriminative Methods for Object Recognition
  
  Ilkay Ulusoy, Christopher Bishop
  
  In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. | June 2005
  
  Publication
- Comparison of Generative and Discriminative Techniques for Object Detection and Classification
  
  Ilkay Ulusoy, Christopher Bishop
  
  Proceedings Sicily Workshop on Object Recognition, Sicily | January 2005
  
  Publication
- Object Recognition via Local Patch Labelling
  
  Christopher Bishop, Ilkay Ulusoy
  
  Proceedings 2004 Workshop on Machine Learning, Sheffield | January 2005
  
  Publication
- Robust Bayesian Mixture Modelling
  
  Markus Svensén, Christopher Bishop
  
  Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
  
  Publication
- Generative Models and Bayesian Model Comparison for Shape Recognition
  
  Balaji Krishnapuram, Christopher Bishop, Martin Szummer
  
  9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2004
  
  Publication
- Clumps, Clusters and Classification
  
  Christopher Bishop
  
  Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham | Published by Springer | 2004 | Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham edition
  
  Publication
- Distinguishing text from graphics in on-line handwritten ink
  
  Christopher Bishop, Markus Svensén, Geoffrey E. Hinton
  
  Proceedings International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 | January 2004
  
  accepted for publication
  
  Publication
- Variational Message Passing
  
  John Winn, Christopher Bishop
  
  Journal of Machine Learning Research | January 2004, Vol 5
  
  Accepted for publication
  
  Publication
- Bayesian Hierarchical Mixtures of Experts
  
  Christopher Bishop, Markus Svensén
  
  Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence | January 2003
  
  Publication
- Bayesian Regression and Classification
  
  Christopher Bishop, Michael E. Tipping
  
  January 2003, Vol 190: pp. 267-285
  
  Advances in Learning Theory: Methods, Models and Applications
  
  Publication
- Structured Variational Distributions in VIBES
  
  Christopher Bishop, John Winn
  
  Proceedings Artificial Intelligence and Statistics | January 2003
  
  ISBN 0-9727358-0-1
  
  Publication
- Super-resolution Enhancement of Video
  
  Christopher Bishop, Andrew Blake, Bhaskara Marthi
  
  Proceedings Artificial Intelligence and Statistics | January 2003
  
  ISBN 0-9727358-0-1
  
  Publication
- Bayesian Image Super-resolution
  
  Michael E. Tipping, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 2002
  
  Publication
- Discussion of `Bayesian Treed Generalized Linear Models’ by H. A. Chipman, E. I. George and R. E. McCulloch
  
  Christopher Bishop
  
  Proceedings Seventh Valencia International Meeting on Bayesian Statistics | January 2002
  
  Proceedings Seventh Valencia International Meeting on Bayesian Statistics
  
  Publication
- VIBES: A variational inference engine for Bayesian networks
  
  C. M. Bishop, J. M. Winn, D. Spiegelhalter, Christopher Bishop, John Winn
  
  Advances in Neural Information Processing Systems | January 2002
  
  Publication
- Automatic signal classification in fluorescence in-situ hybridization images
  
  B. Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher Bishop
  
  Cytometry | January 2001, Vol 43: pp. 87-93
  
  Publication
- Feature representation for the automatic analysis of fluorescence in-situ hybridization images
  
  Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hulten, Christopher Bishop
  
  IEEE Transactions on Systems, Man and Cybernetics | January 2001, pp. 655-665
  
  Publication
- Optimising Synchronisation Times for Mobile Devices
  
  Neil D. Lawrence, Ant Rowstron, Christopher Bishop, Mike Taylor
  
  Advances in Neural Information Processing Systems | January 2001
  
  Publication
- Probabilistic Modelling of Replica Divergence
  
  Ant Rowstron, N. D. Lawrence, Christopher Bishop
  
  HotOS 2001 | January 2001
  
  Publication
- Variational Bayesian Model Selection for Mixture Distributions
  
  A. Corduneanu, Christopher Bishop
  
  Proceedings Eighth International Conference on Artificial Intelligence and Statistics | January 2001
  
  Publication
- Non-linear Bayesian image modelling
  
  C. M. Bishop, J. M. Winn, Christopher Bishop, John Winn
  
  Proceedings Sixth European Conference on Computer Vision | January 2000
  
  Proceedings Sixth European Conference on Computer Vision
  
  Winner of ECCV 2000 Best Paper Prize
  
  Publication
- Variational Relevance Vector Machines
  
  Christopher Bishop, Michael E Tipping
  
  Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence; Proceedings of the 15th International Workshop on Statistical Modelling | January 2000
  
  Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
  
  Publication
- Bayesian PCA
  
  Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1999
  
  Publication
- Latent Variable Models
  
  Christopher Bishop
  
  Learning in Graphical Models | January 1999
  
  Publication
- Mixtures of Probabilistic Principal Component Analyzers
  
  M. E. Tipping, Christopher Bishop
  
  Neural Computation | January 1999, Vol 11: pp. 443-482
  
  Publication
- Neural network training using multi-channel data with aggregate labelling
  
  N. McGrogan, Christopher Bishop, L. Tarassenko
  
  Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
  
  Publication Publication
- Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data
  
  Dan Cornford, Ian T. Nabney, Christopher Bishop
  
  Neural Computing and Applications | January 1999, Vol 8: pp. 206-217
  
  Publication
- Pattern Recognition and Feedforward Neural Networks
  
  Christopher Bishop
  
  January 1999, pp. 629-631
  
  The MIT Encyclopedia of the Cognitive Sciences
  
  Publication
- Probabilistic Principal Component Analysis
  
  M. E. Tipping, Christopher Bishop
  
  Journal of the Royal Statistical Society, Series B | January 1999, Vol 21(3): pp. 611-622
  
  Available from http://www.ncrg.aston.ac.uk/Papers/index.html
  
  Publication
- Variational Principal Components
  
  Christopher Bishop
  
  Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
  
  Publication
- Neural Networks and Machine Learning
  
  Christopher Bishop
  
  Published by Springer Verlag | November 1998, Vol 168
  
  Publication
- A Hierarchical Latent Variable Model for Data Visualization
  
  Christopher Bishop, M. E. Tipping
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | January 1998, Vol 20-Mar: pp. 281-293
  
  Publication
- Approximating posterior distributions in belief networks using mixtures
  
  Christopher Bishop, N. Lawrence, T. Jaakkola, M. I. Jordan
  
  Advances in Neural Information Processing Systems | January 1998
  
  Advances in Neural Information Processing Systems
  
  Publication
- Developments of the Generative Topographic Mapping
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  Neurocomputing | January 1998, Vol 21: pp. 203-224
  
  Publication
- Ensemble learning for multi-layer networks
  
  D. Barber, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1998
  
  Publication
- Ensemble learning in Bayesian neural networks
  
  D. Barber, Christopher Bishop
  
  Generalization in Neural Networks and Machine Learning | January 1998
  
  Generalization in Neural Networks and Machine Learning
  
  Publication
- GTM: The Generative Topographic Mapping
  
  Christopher Bishop, Markus Svensén, Christopher K.I. Williams
  
  January 1998, Vol 10: pp. 215-234
  
  January 1998
  
  Publication
- Markovian Inference in Belief Networks
  
  B. J. Frey, N. Lawrence, Christopher Bishop
  
  January 1998
  
  Presented at the Learning Workshop, Snowbird
  
  Publication
- Mixture representations for inference and learning in Boltzmann machines
  
  N. Lawrence, Christopher Bishop, M. Jordan
  
  Uncertainty in Artificial Intelligence | January 1998
  
  Uncertainty in Artificial Intelligence
  
  Publication
- Pulsed Neural Networks
  
  Wolfgang Maass, Christopher Bishop
  
  Published by MIT Press | January 1998
  
  Publication
- Regression with Input-Dependent Noise: A Gaussian Process Treatment
  
  Paul W. Goldberg, Christopher K. I. Williams, Christopher Bishop
  
  NCRG/98/002 | January 1998
  
  Advances in Neural Information Processing Systems
  
  Publication
- Variational Learning in Graphical Models and Neural Networks
  
  Christopher Bishop
  
  Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98 | January 1998
  
  Publication
- An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression
  
  Christopher Bishop
  
  Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer | 1997 | Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications edition
  
  ISBN: 978-1-4615-6099-9
  
  Publication
- Bayesian Inference of Noise Levels in Regression
  
  Christopher Bishop, C. S. Qazaz
  
  Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany | January 1997
  
  Publication
- Bayesian Model Comparison by Monte Carlo Chaining
  
  David Barber, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1997
  
  Publication
- Bayesian neural networks
  
  Christopher Bishop
  
  Journal of the Brazilian Computer Society | January 1997, Vol 1(4): pp. 61-68
  
  Special issue on neural networks
  
  Publication Publication
- GTM through time
  
  Christopher Bishop, Geoffrey E. Hinton, Iain G. D. Strachan
  
  Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
  
  Publication
- GTM: a principled alternative to the Self-Organizing Map
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  International Conference on Artificial Neural Networks, ICANN'96 | January 1997
  
  Publication
- Latent Variables, Topographic Mappings and Data Visualization
  
  Christopher Bishop
  
  Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno | January 1997
  
  Publication
- Magnification factors for the GTM algorithm
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
  
  Publication
- Modelling Conditional Probability Densities for Periodic Variables
  
  Christopher Bishop, Ian T. Nabney
  
  Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer Academic Press | 1997 | Mathematics of Neural Networks: Models, Algorithms and Applications edition
  
  Publication
- Neural Networks
  
  Christopher Bishop
  
  Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) | Published by Fontana Press | 1997 | Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) edition
  
  Publication
- Neural Networks
  
  M. I. Jordan, Christopher Bishop
  
  Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook | Published by CRC Press | 1997 | Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook edition
  
  Publication
- Regression with Input-Dependent Noise: A Bayesian Treatment
  
  Christopher Bishop, Cazhaow S. Qazaz
  
  Advances in Neural Information Processing Systems | January 1997
  
  Publication
- EM optimization of latent variable density models
  
  Christopher Bishop, Markus Svensén, C. K. I. Williams
  
  Advances in Neural Information Processing Systems | January 1996
  
  Publication
- Modelling conditional probability distributions for periodic variables
  
  Christopher Bishop, I. T. Nabney
  
  Neural Computation | January 1996, Vol 8(5): pp. 1123-1133
  
  Publication
- Neural Networks
  
  M. I. Jordan, Christopher Bishop
  
  ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition
  
  Publication
- Neural Networks: A Pattern Recognition Perspective
  
  Christopher Bishop
  
  Handbook of Neural Computation | Published by Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition
  
  Publication
- Bayesian methods for neural networks
  
  Christopher Bishop
  
  NCRG/95/009 | January 1995
  
  USENIX ICAC
  
  Publication
- Estimating conditional probability densities for periodic variables
  
  Christopher Bishop, C. Legleye
  
  Advances in Neural Information Processing Systems | January 1995
  
  Advances in Neural Information Processing Systems
  
  Publication
- Modelling Conditional Probability Distributions for Periodic Variables
  
  Christopher Bishop
  
  Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK | January 1995
  
  Publication
- Multiphase Flow Monitoring in Oil Pipelines
  
  Christopher Bishop
  
  Murray, A. F. (Ed.), Applications of Neural Networks, 6 | Published by Kluwer | 1995 | Murray, A. F. (Ed.), Applications of Neural Networks edition
  
  Publication
- Neural Networks for Pattern Recognition
  
  Christopher Bishop
  
  Published by Oxford University Press | January 1995
  
  Publication
- On the relationship between Bayesian error bars and the input data density
  
  C. K. I. Williams, C. Qazaz, Christopher Bishop, H. Zhu
  
  Proceedings Fourth IEE International Conference on Artificial Neural Networks | January 1995
  
  Publication
- Real-time Control of a Tokamak Plasma using Neural Networks
  
  Christopher Bishop, Paul S. Haynes, Mike E.U. Smith, Tom N. Todd, David L. Trotman, Colin G. Windsor
  
  Advances in Neural Information Processing Systems | January 1995, Vol 7: pp. 1007-1014
  
  Publication
- Real-time Control of a Tokamak Plasma Using Neural Networks
  
  Christopher Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
  
  Neural Computation | January 1995
  
  Publication
- Recent Progress in the Measurement and Analysis of ECE on JET
  
  D Bartlett, C Bishop, R Cahill, A McLachlan, L Porte, A Rookes, Christopher Bishop
  
  Proceedings of the 9th International Workshop on ECE and ECRH | January 1995
  
  Proceedings of the 9th International Workshop on ECE and ECRH
  
  Publication
- Regularization and Complexity Control in Feed-forward Networks
  
  Christopher Bishop
  
  Proceedings International Conference on Artificial Neural Networks ICANN'95 | January 1995
  
  Proceedings International Conference on Artificial Neural Networks ICANN'95
  
  Publication
- Training with noise is equivalent to Tikhonov regularization
  
  Christopher Bishop
  
  Neural Computation | January 1995, Vol 7(1): pp. 108-116
  
  Publication Publication
- Neural Networks and Their Applications
  
  Christopher Bishop
  
  Review of Scientific Instruments | June 1994, Vol 65(6): pp. 1803-1832
  
  Publication
- An Investigation of Coupled Energy and Particle Transport in Tokamak Plasmas
  
  N. Deliyanakis, Christopher Bishop, J. W. Connor, M. Cox, D. C. Robinson
  
  Plasma Physics and Controlled Fusion | January 1994, Vol 36: pp. 1391-1406
  
  Publication
- Fast Feedback Control of a High Temperature Fusion Plasma
  
  Christopher Bishop
  
  Neural Computing and Applications | January 1994, Vol 2(3): pp. 148-159
  
  Publication
- Mixture Density Networks
  
  Christopher Bishop
  
  NCRG/94/004 | January 1994
  
  Publication
- Novelty Detection and Neural Network Validation
  
  Christopher Bishop
  
  IEE Proceedings: Vision, Image and Signal Processing. Special issue on applications of neural networks. | January 1994
  
  Publication
- Neural Network Validation: an Illustration from the Monitoring of Multi-phase Flows
  
  C. M. Bishop, Christopher Bishop
  
  Proceedings IEE Conference on Artificial Neural Networks | May 1993
  
  Publication
- Analysis of Multiphase Flows Using Dual-energy Gamma Densitometry and Neural Networks
  
  Christopher Bishop
  
  Nuclear Instruments and Methods in Physics Research | January 1993, Vol A327: pp. 580-593
  
  Publication
- Automatic analysis of JET charge exchange recombination spectra using neural networks
  
  Christopher Bishop, C. M. Roach, M. G. von Hellermann
  
  Plasma Physics and Controlled Fusion | January 1993, Vol 35: pp. 765-773
  
  Publication
- Curvature-driven smoothing: a learning algorithm for feedforward networks
  
  Christopher Bishop
  
  IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
  
  Publication
- Novelty Detection and Neural Network Validation
  
  Christopher Bishop
  
  Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93 | January 1993
  
  Publication
- Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
  
  Christopher Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas
  
  Neural Computing and Applications | January 1993, Vol 1(1): pp. 4–16
  
  Publication
- Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
  
  Christopher Bishop
  
  Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. | 1992, Vol 2 | Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. edition
  
  Publication
- Fast Curve Fitting Using Neural Networks
  
  Christopher Bishop
  
  Review of Scientific Instruments | June 1992
  
  Publication
- A Neural Network Approach to Tokamak Equilibrium Control
  
  Christopher Bishop, Peter Cox, Paul S. Haynes, Colin M. Roach, Mike E. U. Smith, Tom N. Todd, David L. Trotman
  
  Neural Network Applications | Published by Springer | 1992 | Neural Network Applications edition
  
  Publication
- Curvature-driven Smoothing in Back-propagation Neural Networks
  
  Christopher Bishop
  
  Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks | Published by Springer | 1992 | Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks edition
  
  Publication
- Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
  
  Christopher Bishop
  
  Neural Computation | January 1992, Vol 4: pp. 494-501
  
  Publication
- Hardware Implementation of a Neural Network for Plasma Position Control in Compass-D
  
  Christopher Bishop, P. S. Haynes, C. M. Roach, T. N. Todd, D. L. Trotman, M. E. U. Smith
  
  Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy | January 1992
  
  Publication Publication
- Neural Network Approach to Energy Confinement Scaling in Tokamaks
  
  Leslie Alan, Christopher Bishop
  
  Plasma Physics and Controlled Fusion | January 1992, Vol 34: pp. 1291-1302
  
  Publication
- A Fast Procedure for Retraining the Multilayer Perceptron
  
  Christopher Bishop
  
  International Journal of Neural Systems | January 1991, Vol 2(3): pp. 229-236
  
  Publication
- A Fast Procedure for Retraining the Multilayer Perceptron
  
  C. M. Bishop, Christopher Bishop
  
  International Journal of Neural Systems | January 1991, pp. 229-236
  
  Publication
- Improving the Generalization Properties of Radial Basis Function Neural Networks
  
  Christopher Bishop
  
  Neural Computation | January 1991, Vol 3(4): pp. 579-588
  
  Publication
- On the Difficulty of Determining Tearing Mode Stability
  
  Christopher Bishop, J. W. Connor, R. J. Hastie, S. C. Cowley
  
  Plasma Physics | January 1991, Vol 33: pp. 389-395
  
  Publication
- Ballooning Delta-prime in the Second Stable Region
  
  Christopher Bishop
  
  Physics of Fluids | August 1990
  
  Publication
- Curvature-driven Smoothing in Back-propagation Neural Networks
  
  Christopher Bishop
  
  Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 | Published by IEEE | 1990, Vol 2 | Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 edition
  
  Publication
- Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations
  
  Christopher Bishop, J. W. Connor
  
  Plasma Physics | January 1990, Vol 32: pp. 203
  
  Publication
- Stability of Toroidicity Induced Drift Waves in Divertor Tokamaks
  
  S. Briguglio, Christopher Bishop, J. W. Connor, R. J. Hastie, F. Romanelli
  
  Physics of Fluids B: Plasma Physics | July 1989, Vol 1(7): pp. 1449
- Alpha Particle Induced Magnetoacoustic Instability in a Thermonuclear Plasma
  
  Christopher Bishop, R. Fitzpatrick, R. J. Hastie, J. C. Jackson
  
  Plasma Physics | January 1989, Vol 31: pp. 431
  
  Publication
- An Intelligent Shell for the Toroidal Pinch
  
  C. M. Bishop, Christopher Bishop
  
  Plasma Physics | January 1989, Vol 31: pp. 1179
  
  Publication
- Resistive Ballooning Modes and the Second Region of Stability
  
  A. Sykes, Christopher Bishop, R. J. Hastie
  
  Plasma Physics | January 1987, Vol 29: pp. 719
  
  Publication
- Bifurcated Temperature Profiles and the H-mode
  
  Christopher Bishop
  
  Nuclear Fusion | January 1986, Vol 27: pp. 1765
  
  Publication
- Degenerate Toroidal Magnetohydrodynamic Equilibria and Minimum B
  
  Christopher Bishop, J. B. Taylor
  
  Physics of Fluids | January 1986, Vol 29: pp. 1444
  
  Publication
- Micro-instability Based Models for Confinement Properties and Ignition Criteria in Tokamaks
  
  Christopher Bishop
  
  | January 1986
  
  Principles of Programming Languages (POPL '08)
  
  Publication
- Stability of Localised MHD Modes in Divertor Tokamaks – a picture of the H-mode
  
  Christopher Bishop
  
  Nuclear Fusion | January 1986, Vol 26: pp. 1063
  
  Publication
- Stability of Anisotropic Pressure Tokamak Equilibria to Ideal Ballooning Modes
  
  Christopher Bishop, R.J. Hastie
  
  Nuclear Fusion | January 1985
  
  Publication
- Ideal MHD Ballooning Stability in the Vicinity of a Separatrix
  
  Christopher Bishop, P. Kirby, J. W. Connor, R. J. Hastie, J. B. Taylor
  
  Nuclear Fusion | January 1984, Vol 24(12): pp. 1579
  
  Publication
- Topological Charge Distribution in SU(N) Gauge Theories
  
  Christopher Bishop, P. V. D. Swift
  
  Physics Letters | January 1983, Vol 129: pp. 198
  
  Publication

- Feature representation for the automatic analysis of fluorescence in-situ hybridization images
  
  Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hulten, Christopher Bishop
  
  IEEE Transactions on Systems, Man and Cybernetics | January 2001, pp. 655-665
  
  Publication
- Variational Relevance Vector Machines
  
  Christopher Bishop, Michael E Tipping
  
  Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence; Proceedings of the 15th International Workshop on Statistical Modelling | January 2000
  
  Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
  
  Publication
- Bayesian PCA
  
  Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1999
  
  Publication
- Latent Variable Models
  
  Christopher Bishop
  
  Learning in Graphical Models | January 1999
  
  Publication
- Mixtures of Probabilistic Principal Component Analyzers
  
  M. E. Tipping, Christopher Bishop
  
  Neural Computation | January 1999, Vol 11: pp. 443-482
  
  Publication
- Neural network training using multi-channel data with aggregate labelling
  
  N. McGrogan, Christopher Bishop, L. Tarassenko
  
  Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
  
  Publication Publication
- Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data
  
  Dan Cornford, Ian T. Nabney, Christopher Bishop
  
  Neural Computing and Applications | January 1999, Vol 8: pp. 206-217
  
  Publication
- Neural Networks and Machine Learning
  
  Christopher Bishop
  
  Published by Springer Verlag | November 1998, Vol 168
  
  Publication
- GTM: The Generative Topographic Mapping
  
  Christopher Bishop, Markus Svensén, Christopher K.I. Williams
  
  January 1998, Vol 10: pp. 215-234
  
  January 1998
  
  Publication
- Approximating posterior distributions in belief networks using mixtures
  
  Christopher Bishop, N. Lawrence, T. Jaakkola, M. I. Jordan
  
  Advances in Neural Information Processing Systems | January 1998
  
  Advances in Neural Information Processing Systems
  
  Publication
- Ensemble learning for multi-layer networks
  
  D. Barber, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1998
  
  Publication
- Ensemble learning in Bayesian neural networks
  
  D. Barber, Christopher Bishop
  
  Generalization in Neural Networks and Machine Learning | January 1998
  
  Generalization in Neural Networks and Machine Learning
  
  Publication
- Markovian Inference in Belief Networks
  
  B. J. Frey, N. Lawrence, Christopher Bishop
  
  January 1998
  
  Presented at the Learning Workshop, Snowbird
  
  Publication
- Mixture representations for inference and learning in Boltzmann machines
  
  N. Lawrence, Christopher Bishop, M. Jordan
  
  Uncertainty in Artificial Intelligence | January 1998
  
  Uncertainty in Artificial Intelligence
  
  Publication
- Pulsed Neural Networks
  
  Wolfgang Maass, Christopher Bishop
  
  Published by MIT Press | January 1998
  
  Publication
- Regression with Input-Dependent Noise: A Gaussian Process Treatment
  
  Paul W. Goldberg, Christopher K. I. Williams, Christopher Bishop
  
  NCRG/98/002 | January 1998
  
  Advances in Neural Information Processing Systems
  
  Publication
- Neural Networks
  
  Christopher Bishop
  
  Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) | Published by Fontana Press | 1997 | Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) edition
  
  Publication
- Neural Networks
  
  M. I. Jordan, Christopher Bishop
  
  Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook | Published by CRC Press | 1997 | Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook edition
  
  Publication
- An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression
  
  Christopher Bishop
  
  Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer | 1997 | Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications edition
  
  ISBN: 978-1-4615-6099-9
  
  Publication
- Bayesian Model Comparison by Monte Carlo Chaining
  
  David Barber, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1997
  
  Publication
- Bayesian neural networks
  
  Christopher Bishop
  
  Journal of the Brazilian Computer Society | January 1997, Vol 1(4): pp. 61-68
  
  Special issue on neural networks
  
  Publication Publication
- Latent Variables, Topographic Mappings and Data Visualization
  
  Christopher Bishop
  
  Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno | January 1997
  
  Publication
- Modelling Conditional Probability Densities for Periodic Variables
  
  Christopher Bishop, Ian T. Nabney
  
  Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer Academic Press | 1997 | Mathematics of Neural Networks: Models, Algorithms and Applications edition
  
  Publication
- Regression with Input-Dependent Noise: A Bayesian Treatment
  
  Christopher Bishop, Cazhaow S. Qazaz
  
  Advances in Neural Information Processing Systems | January 1997
  
  Publication
- Neural Networks
  
  M. I. Jordan, Christopher Bishop
  
  ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition
  
  Publication
- EM optimization of latent variable density models
  
  Christopher Bishop, Markus Svensén, C. K. I. Williams
  
  Advances in Neural Information Processing Systems | January 1996
  
  Publication
- Modelling conditional probability distributions for periodic variables
  
  Christopher Bishop, I. T. Nabney
  
  Neural Computation | January 1996, Vol 8(5): pp. 1123-1133
  
  Publication
- Neural Networks: A Pattern Recognition Perspective
  
  Christopher Bishop
  
  Handbook of Neural Computation | Published by Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition
  
  Publication
- Multiphase Flow Monitoring in Oil Pipelines
  
  Christopher Bishop
  
  Murray, A. F. (Ed.), Applications of Neural Networks, 6 | Published by Kluwer | 1995 | Murray, A. F. (Ed.), Applications of Neural Networks edition
  
  Publication
- Modelling Conditional Probability Distributions for Periodic Variables
  
  Christopher Bishop
  
  Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK | January 1995
  
  Publication
- Real-time Control of a Tokamak Plasma using Neural Networks
  
  Christopher Bishop, Paul S. Haynes, Mike E.U. Smith, Tom N. Todd, David L. Trotman, Colin G. Windsor
  
  Advances in Neural Information Processing Systems | January 1995, Vol 7: pp. 1007-1014
  
  Publication
- Neural Networks for Pattern Recognition
  
  Christopher Bishop
  
  Published by Oxford University Press | January 1995
  
  Publication
- Bayesian methods for neural networks
  
  Christopher Bishop
  
  NCRG/95/009 | January 1995
  
  USENIX ICAC
  
  Publication
- Estimating conditional probability densities for periodic variables
  
  Christopher Bishop, C. Legleye
  
  Advances in Neural Information Processing Systems | January 1995
  
  Advances in Neural Information Processing Systems
  
  Publication
- On the relationship between Bayesian error bars and the input data density
  
  C. K. I. Williams, C. Qazaz, Christopher Bishop, H. Zhu
  
  Proceedings Fourth IEE International Conference on Artificial Neural Networks | January 1995
  
  Publication
- Real-time Control of a Tokamak Plasma Using Neural Networks
  
  Christopher Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
  
  Neural Computation | January 1995
  
  Publication
- Recent Progress in the Measurement and Analysis of ECE on JET
  
  D Bartlett, C Bishop, R Cahill, A McLachlan, L Porte, A Rookes, Christopher Bishop
  
  Proceedings of the 9th International Workshop on ECE and ECRH | January 1995
  
  Proceedings of the 9th International Workshop on ECE and ECRH
  
  Publication
- Regularization and Complexity Control in Feed-forward Networks
  
  Christopher Bishop
  
  Proceedings International Conference on Artificial Neural Networks ICANN'95 | January 1995
  
  Proceedings International Conference on Artificial Neural Networks ICANN'95
  
  Publication
- Training with noise is equivalent to Tikhonov regularization
  
  Christopher Bishop
  
  Neural Computation | January 1995, Vol 7(1): pp. 108-116
  
  Publication Publication
- Neural Networks and Their Applications
  
  Christopher Bishop
  
  Review of Scientific Instruments | June 1994, Vol 65(6): pp. 1803-1832
  
  Publication
- Fast Feedback Control of a High Temperature Fusion Plasma
  
  Christopher Bishop
  
  Neural Computing and Applications | January 1994, Vol 2(3): pp. 148-159
  
  Publication
- Novelty Detection and Neural Network Validation
  
  Christopher Bishop
  
  IEE Proceedings: Vision, Image and Signal Processing. Special issue on applications of neural networks. | January 1994
  
  Publication
- Mixture Density Networks
  
  Christopher Bishop
  
  NCRG/94/004 | January 1994
  
  Publication
- Neural Network Validation: an Illustration from the Monitoring of Multi-phase Flows
  
  C. M. Bishop, Christopher Bishop
  
  Proceedings IEE Conference on Artificial Neural Networks | May 1993
  
  Publication
- Novelty Detection and Neural Network Validation
  
  Christopher Bishop
  
  Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93 | January 1993
  
  Publication
- Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
  
  Christopher Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas
  
  Neural Computing and Applications | January 1993, Vol 1(1): pp. 4–16
  
  Publication
- Analysis of Multiphase Flows Using Dual-energy Gamma Densitometry and Neural Networks
  
  Christopher Bishop
  
  Nuclear Instruments and Methods in Physics Research | January 1993, Vol A327: pp. 580-593
  
  Publication
- Automatic analysis of JET charge exchange recombination spectra using neural networks
  
  Christopher Bishop, C. M. Roach, M. G. von Hellermann
  
  Plasma Physics and Controlled Fusion | January 1993, Vol 35: pp. 765-773
  
  Publication
- Curvature-driven smoothing: a learning algorithm for feedforward networks
  
  Christopher Bishop
  
  IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
  
  Publication
- Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
  
  Christopher Bishop
  
  Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. | 1992, Vol 2 | Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. edition
  
  Publication
- Fast Curve Fitting Using Neural Networks
  
  Christopher Bishop
  
  Review of Scientific Instruments | June 1992
  
  Publication
- Curvature-driven Smoothing in Back-propagation Neural Networks
  
  Christopher Bishop
  
  Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks | Published by Springer | 1992 | Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks edition
  
  Publication
- A Neural Network Approach to Tokamak Equilibrium Control
  
  Christopher Bishop, Peter Cox, Paul S. Haynes, Colin M. Roach, Mike E. U. Smith, Tom N. Todd, David L. Trotman
  
  Neural Network Applications | Published by Springer | 1992 | Neural Network Applications edition
  
  Publication
- Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
  
  Christopher Bishop
  
  Neural Computation | January 1992, Vol 4: pp. 494-501
  
  Publication
- Hardware Implementation of a Neural Network for Plasma Position Control in Compass-D
  
  Christopher Bishop, P. S. Haynes, C. M. Roach, T. N. Todd, D. L. Trotman, M. E. U. Smith
  
  Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy | January 1992
  
  Publication Publication
- A Fast Procedure for Retraining the Multilayer Perceptron
  
  Christopher Bishop
  
  International Journal of Neural Systems | January 1991, Vol 2(3): pp. 229-236
  
  Publication
- A Fast Procedure for Retraining the Multilayer Perceptron
  
  C. M. Bishop, Christopher Bishop
  
  International Journal of Neural Systems | January 1991, pp. 229-236
  
  Publication
- Improving the Generalization Properties of Radial Basis Function Neural Networks
  
  Christopher Bishop
  
  Neural Computation | January 1991, Vol 3(4): pp. 579-588
  
  Publication
- Ballooning Delta-prime in the Second Stable Region
  
  Christopher Bishop
  
  Physics of Fluids | August 1990
  
  Publication
- Curvature-driven Smoothing in Back-propagation Neural Networks
  
  Christopher Bishop
  
  Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 | Published by IEEE | 1990, Vol 2 | Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 edition
  
  Publication
- Stability of Toroidicity Induced Drift Waves in Divertor Tokamaks
  
  S. Briguglio, Christopher Bishop, J. W. Connor, R. J. Hastie, F. Romanelli
  
  Physics of Fluids B: Plasma Physics | July 1989, Vol 1(7): pp. 1449
- Alpha Particle Induced Magnetoacoustic Instability in a Thermonuclear Plasma
  
  Christopher Bishop, R. Fitzpatrick, R. J. Hastie, J. C. Jackson
  
  Plasma Physics | January 1989, Vol 31: pp. 431
  
  Publication
- Bifurcated Temperature Profiles and the H-mode
  
  Christopher Bishop
  
  Nuclear Fusion | January 1986, Vol 27: pp. 1765
  
  Publication
- Micro-instability Based Models for Confinement Properties and Ignition Criteria in Tokamaks
  
  Christopher Bishop
  
  | January 1986
  
  Principles of Programming Languages (POPL '08)
  
  Publication
- Degenerate Toroidal Magnetohydrodynamic Equilibria and Minimum B
  
  Christopher Bishop, J. B. Taylor
  
  Physics of Fluids | January 1986, Vol 29: pp. 1444
  
  Publication
- Stability of Localised MHD Modes in Divertor Tokamaks – a picture of the H-mode
  
  Christopher Bishop
  
  Nuclear Fusion | January 1986, Vol 26: pp. 1063
  
  Publication
- Stability of Anisotropic Pressure Tokamak Equilibria to Ideal Ballooning Modes
  
  Christopher Bishop, R.J. Hastie
  
  Nuclear Fusion | January 1985
  
  Publication
- Ideal MHD Ballooning Stability in the Vicinity of a Separatrix
  
  Christopher Bishop, P. Kirby, J. W. Connor, R. J. Hastie, J. B. Taylor
  
  Nuclear Fusion | January 1984, Vol 24(12): pp. 1579
  
  Publication
- Topological Charge Distribution in SU(N) Gauge Theories
  
  Christopher Bishop, P. V. D. Swift
  
  Physics Letters | January 1983, Vol 129: pp. 198
  
  Publication
- Accurate and scalable exchange-correlation with deep learning
  
  Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk Kooi, Sebastian Ehlert, Stephanie Lanius, K.J.H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel Bruinsma, Lin Huang, Xinran wei, Jose Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
  
  June 2025
  
  PDF Preprint Video Access Access Project
- Deep Learning: Foundations and Concepts
  
  Christopher Bishop, Hugh Bishop
  
  Published by Springer Cham | November 2023
  
  Publication DOI
- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
  Publication Video Github Project
- Exposing variation in climate change risk assessment
  
  Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
  
  AGU Fall Meeting | December 2015
  
  Accepted talk at 2015 Fall Meeting of American Geophysical Union
  
  Publication
- Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years
  
  Angela Simpson, Nevena Lazic, Danielle C. M. Belgrave, Phil Johnson, Christopher Bishop, Clare Mills, Adnan Custovic
  
  Journal of Allergy and Clinical Immunology | November 2015
  
  Publication Publication
- Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
  
  Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
  
  Bulletin of the American Meteorological Society | October 2014
  
  Publication Publication Project
- Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
  
  Bar Shalem, John Guiver, Christopher Bishop, Yoram Bachrach
  
  September 2014
  
  Publication Project
- Artificial Life
  
  Christopher Bishop
  
  Life | January 2014
  
  Publication
- Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts
  
  N. Lazic, G. Roberts, A. Custovic, D. Belgrave, Christopher Bishop, John Winn, J.A. Curtin, S. Hasan Arshad, A. Simpson
  
  Allergy | June 2013, Vol 68(6): pp. 764
  
  Publication Publication Project
- Model-Based Machine Learning
  
  Christopher Bishop
  
  Philosophical Transactions of the Royal Society A | February 2013, Vol 371: pp. 1–17
  
  Publication Publication Github Project
- Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables
  
  Nevena Lazic, Christopher Bishop, John Winn
  
  Proceedings Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats) | January 2013
  
  Publication Project
- Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition
  
  Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop
  
  Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012
  
  ISBN: ISBN-13 978-88-207-5364-1
  
  Publication
- Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting
  
  Markus Svensén, Qing Xu, David Stern, Steve Hanks, Christopher Bishop
  
  In Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD), San Diego, USA | August 2011
  
  Publication
- A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma
  
  Christopher Bishop
  
  Proceedings of the International Workshop of Statistical Modelling, Valencia | January 2011
  
  ISBN: 978-84-694-5129-8
  
  Publication
- Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study
  
  Angela Simpson, Vincent Y. Tan, John Winn, Markus Svensén, Christopher Bishop, David Heckerman, Iain Buchan, Adnan Custovic
  
  American Journal of Respiratory and Critical Care Medicine | February 2010, Vol 181: pp. 1200-1206
  
  Publication Publication Project
- A Unified Modeling Approach to Data-Intensive Healthcare
  
  Iain Buchan, John Winn, Christopher Bishop
  
  The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
  
  Publication
- A New Framework for Machine Learning
  
  Christopher Bishop
  
  In computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, June 2008 Lecture Notes in Computer Science | June 2008
  
  Publication
- Generative or Discriminative? Getting the Best of Both Worlds
  
  Christopher Bishop, Julia Lasserre
  
  Bayesian Statistics | January 2007, Vol 8: pp. 3–23
  
  Publication
- Principled Hybrids of Generative and Discriminative Models
  
  Julia A. Lasserre, Christopher Bishop, Tom Minka
  
  IEEE Conference on Computer Vision and Pattern Recognition | June 2006
  
  Publication
- Pattern Recognition and Machine Learning
  
  Christopher Bishop
  
  Published by Springer | January 2006
  
  PDF Publication
- Generative versus Discriminative Methods for Object Recognition
  
  Ilkay Ulusoy, Christopher Bishop
  
  In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. | June 2005
  
  Publication
- Comparison of Generative and Discriminative Techniques for Object Detection and Classification
  
  Ilkay Ulusoy, Christopher Bishop
  
  Proceedings Sicily Workshop on Object Recognition, Sicily | January 2005
  
  Publication
- Object Recognition via Local Patch Labelling
  
  Christopher Bishop, Ilkay Ulusoy
  
  Proceedings 2004 Workshop on Machine Learning, Sheffield | January 2005
  
  Publication
- Robust Bayesian Mixture Modelling
  
  Markus Svensén, Christopher Bishop
  
  Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
  
  Publication
- Generative Models and Bayesian Model Comparison for Shape Recognition
  
  Balaji Krishnapuram, Christopher Bishop, Martin Szummer
  
  9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2004
  
  Publication
- Clumps, Clusters and Classification
  
  Christopher Bishop
  
  Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham | Published by Springer | 2004 | Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham edition
  
  Publication
- Distinguishing text from graphics in on-line handwritten ink
  
  Christopher Bishop, Markus Svensén, Geoffrey E. Hinton
  
  Proceedings International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 | January 2004
  
  accepted for publication
  
  Publication
- Bayesian Regression and Classification
  
  Christopher Bishop, Michael E. Tipping
  
  January 2003, Vol 190: pp. 267-285
  
  Advances in Learning Theory: Methods, Models and Applications
  
  Publication
- Bayesian Image Super-resolution
  
  Michael E. Tipping, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 2002
  
  Publication
- Discussion of `Bayesian Treed Generalized Linear Models’ by H. A. Chipman, E. I. George and R. E. McCulloch
  
  Christopher Bishop
  
  Proceedings Seventh Valencia International Meeting on Bayesian Statistics | January 2002
  
  Proceedings Seventh Valencia International Meeting on Bayesian Statistics
  
  Publication
- Automatic signal classification in fluorescence in-situ hybridization images
  
  B. Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher Bishop
  
  Cytometry | January 2001, Vol 43: pp. 87-93
  
  Publication
- An Investigation of Coupled Energy and Particle Transport in Tokamak Plasmas
  
  N. Deliyanakis, Christopher Bishop, J. W. Connor, M. Cox, D. C. Robinson
  
  Plasma Physics and Controlled Fusion | January 1994, Vol 36: pp. 1391-1406
  
  Publication
- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
  Publication Video Github Project
- Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
  
  Danielle C. M. Belgrave, Raquel Graneli, Angela Simpson, John Guiver, Christopher Bishop, Iain Buchan, A. John Henderson, Adnan Custovic
  
  PLOS Medicine | October 2014
  
  Publication Publication Project
- Trajectories of Lung Function during Childhood
  
  Danielle C. M. Belgrave, Iain Buchan, Christopher Bishop, Lesley Lowe, Angela Simpson, Adnan Custovic
  
  American Journal of Respiratory and Critical Care Medicine | January 2014, Vol 189(9): pp. 1101-1109
  
  Publication Publication Project
- A Unified Modeling Approach to Data-Intensive Healthcare
  
  Iain Buchan, John Winn, Christopher Bishop
  
  The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
  
  Publication
- On the Difficulty of Determining Tearing Mode Stability
  
  Christopher Bishop, J. W. Connor, R. J. Hastie, S. C. Cowley
  
  Plasma Physics | January 1991, Vol 33: pp. 389-395
  
  Publication
- Exposing variation in climate change risk assessment
  
  Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
  
  AGU Fall Meeting | December 2015
  
  Accepted talk at 2015 Fall Meeting of American Geophysical Union
  
  Publication
- Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
  
  Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
  
  Bulletin of the American Meteorological Society | October 2014
  
  Publication Publication Project
- A Hierarchical Latent Variable Model for Data Visualization
  
  Christopher Bishop, M. E. Tipping
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | January 1998, Vol 20-Mar: pp. 281-293
  
  Publication
- The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together
  
  Adnan Custovic, John Ainsworth , Hasan Arshad , Christopher Bishop, Iain Buchan, Paul Cullinan , Graham Devereux , John Henderson , John Holloway , Graham Roberts , Steve Turner , Ashley Woodcock , Angela Simpson
  
  Thorax | March 2015
  
  Publication Publication Publication
- Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
  
  Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
  
  Bulletin of the American Meteorological Society | October 2014
  
  Publication Publication Project
- Resistive Ballooning Modes and the Second Region of Stability
  
  A. Sykes, Christopher Bishop, R. J. Hastie
  
  Plasma Physics | January 1987, Vol 29: pp. 719
  
  Publication
- Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
  
  Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
  
  Bulletin of the American Meteorological Society | October 2014
  
  Publication Publication Project
- Discriminative Writer Adaptation
  
  Martin Szummer, Christopher Bishop
  
  10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2006
  
  Publication
- Neural Network Approach to Energy Confinement Scaling in Tokamaks
  
  Leslie Alan, Christopher Bishop
  
  Plasma Physics and Controlled Fusion | January 1992, Vol 34: pp. 1291-1302
  
  Publication
- Robust Bayesian Mixture Modelling
  
  Markus Svensén, Christopher Bishop
  
  Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
  
  Publication
- Variational Bayesian Model Selection for Mixture Distributions
  
  A. Corduneanu, Christopher Bishop
  
  Proceedings Eighth International Conference on Artificial Intelligence and Statistics | January 2001
  
  Publication
- Variational Principal Components
  
  Christopher Bishop
  
  Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
  
  Publication
- Variational Learning in Graphical Models and Neural Networks
  
  Christopher Bishop
  
  Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98 | January 1998
  
  Publication
- Variational Message Passing
  
  John Winn, Christopher Bishop
  
  Journal of Machine Learning Research | January 2004, Vol 5
  
  Accepted for publication
  
  Publication
- VIBES: A variational inference engine for Bayesian networks
  
  C. M. Bishop, J. M. Winn, D. Spiegelhalter, Christopher Bishop, John Winn
  
  Advances in Neural Information Processing Systems | January 2002
  
  Publication
- Bayesian Hierarchical Mixtures of Experts
  
  Christopher Bishop, Markus Svensén
  
  Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence | January 2003
  
  Publication
- Optimising Synchronisation Times for Mobile Devices
  
  Neil D. Lawrence, Ant Rowstron, Christopher Bishop, Mike Taylor
  
  Advances in Neural Information Processing Systems | January 2001
  
  Publication
- Probabilistic Modelling of Replica Divergence
  
  Ant Rowstron, N. D. Lawrence, Christopher Bishop
  
  HotOS 2001 | January 2001
  
  Publication
- Non-linear Bayesian image modelling
  
  C. M. Bishop, J. M. Winn, Christopher Bishop, John Winn
  
  Proceedings Sixth European Conference on Computer Vision | January 2000
  
  Proceedings Sixth European Conference on Computer Vision
  
  Winner of ECCV 2000 Best Paper Prize
  
  Publication
- Pattern Recognition and Feedforward Neural Networks
  
  Christopher Bishop
  
  January 1999, pp. 629-631
  
  The MIT Encyclopedia of the Cognitive Sciences
  
  Publication
- Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations
  
  Christopher Bishop, J. W. Connor
  
  Plasma Physics | January 1990, Vol 32: pp. 203
  
  Publication
- Structured Variational Distributions in VIBES
  
  Christopher Bishop, John Winn
  
  Proceedings Artificial Intelligence and Statistics | January 2003
  
  ISBN 0-9727358-0-1
  
  Publication
- Super-resolution Enhancement of Video
  
  Christopher Bishop, Andrew Blake, Bhaskara Marthi
  
  Proceedings Artificial Intelligence and Statistics | January 2003
  
  ISBN 0-9727358-0-1
  
  Publication
- Mixtures of Probabilistic Principal Component Analyzers
  
  M. E. Tipping, Christopher Bishop
  
  Neural Computation | January 1999, Vol 11: pp. 443-482
  
  Publication
- Probabilistic Principal Component Analysis
  
  M. E. Tipping, Christopher Bishop
  
  Journal of the Royal Statistical Society, Series B | January 1999, Vol 21(3): pp. 611-622
  
  Available from http://www.ncrg.aston.ac.uk/Papers/index.html
  
  Publication
- Developments of the Generative Topographic Mapping
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  Neurocomputing | January 1998, Vol 21: pp. 203-224
  
  Publication
- Bayesian Inference of Noise Levels in Regression
  
  Christopher Bishop, C. S. Qazaz
  
  Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany | January 1997
  
  Publication
- GTM through time
  
  Christopher Bishop, Geoffrey E. Hinton, Iain G. D. Strachan
  
  Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
  
  Publication
- GTM: a principled alternative to the Self-Organizing Map
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  International Conference on Artificial Neural Networks, ICANN'96 | January 1997
  
  Publication
- Magnification factors for the GTM algorithm
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
  
  Publication
- Curvature-driven smoothing: a learning algorithm for feedforward networks
  
  Christopher Bishop
  
  IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
  
  Publication
- An Intelligent Shell for the Toroidal Pinch
  
  C. M. Bishop, Christopher Bishop
  
  Plasma Physics | January 1989, Vol 31: pp. 1179
  
  Publication

- Markovian Inference in Belief Networks
  
  B. J. Frey, N. Lawrence, Christopher Bishop
  
  January 1998
  
  Presented at the Learning Workshop, Snowbird
  
  Publication
- Accurate and scalable exchange-correlation with deep learning
  
  Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk Kooi, Sebastian Ehlert, Stephanie Lanius, K.J.H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel Bruinsma, Lin Huang, Xinran wei, Jose Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
  
  June 2025
  
  PDF Preprint Video Access Access Project
- Neural Networks and Machine Learning
  
  Christopher Bishop
  
  Published by Springer Verlag | November 1998, Vol 168
  
  Publication
- Pulsed Neural Networks
  
  Wolfgang Maass, Christopher Bishop
  
  Published by MIT Press | January 1998
  
  Publication
- Neural Networks for Pattern Recognition
  
  Christopher Bishop
  
  Published by Oxford University Press | January 1995
  
  Publication
- Deep Learning: Foundations and Concepts
  
  Christopher Bishop, Hugh Bishop
  
  Published by Springer Cham | November 2023
  
  Publication DOI
- Pattern Recognition and Machine Learning
  
  Christopher Bishop
  
  Published by Springer | January 2006
  
  PDF Publication
- Automatic signal classification in fluorescence in-situ hybridization images
  
  B. Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher Bishop
  
  Cytometry | January 2001, Vol 43: pp. 87-93
  
  Publication
- Feature representation for the automatic analysis of fluorescence in-situ hybridization images
  
  Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hulten, Christopher Bishop
  
  IEEE Transactions on Systems, Man and Cybernetics | January 2001, pp. 655-665
  
  Publication
- Mixtures of Probabilistic Principal Component Analyzers
  
  M. E. Tipping, Christopher Bishop
  
  Neural Computation | January 1999, Vol 11: pp. 443-482
  
  Publication
- Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data
  
  Dan Cornford, Ian T. Nabney, Christopher Bishop
  
  Neural Computing and Applications | January 1999, Vol 8: pp. 206-217
  
  Publication
- Probabilistic Principal Component Analysis
  
  M. E. Tipping, Christopher Bishop
  
  Journal of the Royal Statistical Society, Series B | January 1999, Vol 21(3): pp. 611-622
  
  Available from http://www.ncrg.aston.ac.uk/Papers/index.html
  
  Publication
- A Hierarchical Latent Variable Model for Data Visualization
  
  Christopher Bishop, M. E. Tipping
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | January 1998, Vol 20-Mar: pp. 281-293
  
  Publication
- Developments of the Generative Topographic Mapping
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  Neurocomputing | January 1998, Vol 21: pp. 203-224
  
  Publication
- Bayesian neural networks
  
  Christopher Bishop
  
  Journal of the Brazilian Computer Society | January 1997, Vol 1(4): pp. 61-68
  
  Special issue on neural networks
  
  Publication Publication
- Modelling conditional probability distributions for periodic variables
  
  Christopher Bishop, I. T. Nabney
  
  Neural Computation | January 1996, Vol 8(5): pp. 1123-1133
  
  Publication
- Real-time Control of a Tokamak Plasma using Neural Networks
  
  Christopher Bishop, Paul S. Haynes, Mike E.U. Smith, Tom N. Todd, David L. Trotman, Colin G. Windsor
  
  Advances in Neural Information Processing Systems | January 1995, Vol 7: pp. 1007-1014
  
  Publication
- Training with noise is equivalent to Tikhonov regularization
  
  Christopher Bishop
  
  Neural Computation | January 1995, Vol 7(1): pp. 108-116
  
  Publication Publication
- Neural Networks and Their Applications
  
  Christopher Bishop
  
  Review of Scientific Instruments | June 1994, Vol 65(6): pp. 1803-1832
  
  Publication
- Fast Feedback Control of a High Temperature Fusion Plasma
  
  Christopher Bishop
  
  Neural Computing and Applications | January 1994, Vol 2(3): pp. 148-159
  
  Publication
- An Investigation of Coupled Energy and Particle Transport in Tokamak Plasmas
  
  N. Deliyanakis, Christopher Bishop, J. W. Connor, M. Cox, D. C. Robinson
  
  Plasma Physics and Controlled Fusion | January 1994, Vol 36: pp. 1391-1406
  
  Publication
- Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
  
  Christopher Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas
  
  Neural Computing and Applications | January 1993, Vol 1(1): pp. 4–16
  
  Publication
- Analysis of Multiphase Flows Using Dual-energy Gamma Densitometry and Neural Networks
  
  Christopher Bishop
  
  Nuclear Instruments and Methods in Physics Research | January 1993, Vol A327: pp. 580-593
  
  Publication
- Automatic analysis of JET charge exchange recombination spectra using neural networks
  
  Christopher Bishop, C. M. Roach, M. G. von Hellermann
  
  Plasma Physics and Controlled Fusion | January 1993, Vol 35: pp. 765-773
  
  Publication
- Curvature-driven smoothing: a learning algorithm for feedforward networks
  
  Christopher Bishop
  
  IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884
  
  Publication
- Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
  
  Christopher Bishop
  
  Neural Computation | January 1992, Vol 4: pp. 494-501
  
  Publication
- Neural Network Approach to Energy Confinement Scaling in Tokamaks
  
  Leslie Alan, Christopher Bishop
  
  Plasma Physics and Controlled Fusion | January 1992, Vol 34: pp. 1291-1302
  
  Publication
- A Fast Procedure for Retraining the Multilayer Perceptron
  
  Christopher Bishop
  
  International Journal of Neural Systems | January 1991, Vol 2(3): pp. 229-236
  
  Publication
- A Fast Procedure for Retraining the Multilayer Perceptron
  
  C. M. Bishop, Christopher Bishop
  
  International Journal of Neural Systems | January 1991, pp. 229-236
  
  Publication
- Improving the Generalization Properties of Radial Basis Function Neural Networks
  
  Christopher Bishop
  
  Neural Computation | January 1991, Vol 3(4): pp. 579-588
  
  Publication
- On the Difficulty of Determining Tearing Mode Stability
  
  Christopher Bishop, J. W. Connor, R. J. Hastie, S. C. Cowley
  
  Plasma Physics | January 1991, Vol 33: pp. 389-395
  
  Publication
- Ballooning Delta-prime in the Second Stable Region
  
  Christopher Bishop
  
  Physics of Fluids | August 1990
  
  Publication
- Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations
  
  Christopher Bishop, J. W. Connor
  
  Plasma Physics | January 1990, Vol 32: pp. 203
  
  Publication
- Stability of Toroidicity Induced Drift Waves in Divertor Tokamaks
  
  S. Briguglio, Christopher Bishop, J. W. Connor, R. J. Hastie, F. Romanelli
  
  Physics of Fluids B: Plasma Physics | July 1989, Vol 1(7): pp. 1449
- Alpha Particle Induced Magnetoacoustic Instability in a Thermonuclear Plasma
  
  Christopher Bishop, R. Fitzpatrick, R. J. Hastie, J. C. Jackson
  
  Plasma Physics | January 1989, Vol 31: pp. 431
  
  Publication
- An Intelligent Shell for the Toroidal Pinch
  
  C. M. Bishop, Christopher Bishop
  
  Plasma Physics | January 1989, Vol 31: pp. 1179
  
  Publication
- Resistive Ballooning Modes and the Second Region of Stability
  
  A. Sykes, Christopher Bishop, R. J. Hastie
  
  Plasma Physics | January 1987, Vol 29: pp. 719
  
  Publication
- Bifurcated Temperature Profiles and the H-mode
  
  Christopher Bishop
  
  Nuclear Fusion | January 1986, Vol 27: pp. 1765
  
  Publication
- Degenerate Toroidal Magnetohydrodynamic Equilibria and Minimum B
  
  Christopher Bishop, J. B. Taylor
  
  Physics of Fluids | January 1986, Vol 29: pp. 1444
  
  Publication
- Stability of Localised MHD Modes in Divertor Tokamaks – a picture of the H-mode
  
  Christopher Bishop
  
  Nuclear Fusion | January 1986, Vol 26: pp. 1063
  
  Publication
- Ideal MHD Ballooning Stability in the Vicinity of a Separatrix
  
  Christopher Bishop, P. Kirby, J. W. Connor, R. J. Hastie, J. B. Taylor
  
  Nuclear Fusion | January 1984, Vol 24(12): pp. 1579
  
  Publication
- Topological Charge Distribution in SU(N) Gauge Theories
  
  Christopher Bishop, P. V. D. Swift
  
  Physics Letters | January 1983, Vol 129: pp. 198
  
  Publication
- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
  Publication Video Github Project
- Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years
  
  Angela Simpson, Nevena Lazic, Danielle C. M. Belgrave, Phil Johnson, Christopher Bishop, Clare Mills, Adnan Custovic
  
  Journal of Allergy and Clinical Immunology | November 2015
  
  Publication Publication
- The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together
  
  Adnan Custovic, John Ainsworth , Hasan Arshad , Christopher Bishop, Iain Buchan, Paul Cullinan , Graham Devereux , John Henderson , John Holloway , Graham Roberts , Steve Turner , Ashley Woodcock , Angela Simpson
  
  Thorax | March 2015
  
  Publication Publication Publication
- Changing how Earth System Modelling is done to provide more useful information for decision making, science and society
  
  Matthew Smith, Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas Joppa, Christopher Bishop, Stephen Emmott
  
  Bulletin of the American Meteorological Society | October 2014
  
  Publication Publication Project
- Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
  
  Danielle C. M. Belgrave, Raquel Graneli, Angela Simpson, John Guiver, Christopher Bishop, Iain Buchan, A. John Henderson, Adnan Custovic
  
  PLOS Medicine | October 2014
  
  Publication Publication Project
- Trajectories of Lung Function during Childhood
  
  Danielle C. M. Belgrave, Iain Buchan, Christopher Bishop, Lesley Lowe, Angela Simpson, Adnan Custovic
  
  American Journal of Respiratory and Critical Care Medicine | January 2014, Vol 189(9): pp. 1101-1109
  
  Publication Publication Project
- Artificial Life
  
  Christopher Bishop
  
  Life | January 2014
  
  Publication
- Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts
  
  N. Lazic, G. Roberts, A. Custovic, D. Belgrave, Christopher Bishop, John Winn, J.A. Curtin, S. Hasan Arshad, A. Simpson
  
  Allergy | June 2013, Vol 68(6): pp. 764
  
  Publication Publication Project
- Model-Based Machine Learning
  
  Christopher Bishop
  
  Philosophical Transactions of the Royal Society A | February 2013, Vol 371: pp. 1–17
  
  Publication Publication Github Project
- Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study
  
  Angela Simpson, Vincent Y. Tan, John Winn, Markus Svensén, Christopher Bishop, David Heckerman, Iain Buchan, Adnan Custovic
  
  American Journal of Respiratory and Critical Care Medicine | February 2010, Vol 181: pp. 1200-1206
  
  Publication Publication Project
- Generative or Discriminative? Getting the Best of Both Worlds
  
  Christopher Bishop, Julia Lasserre
  
  Bayesian Statistics | January 2007, Vol 8: pp. 3–23
  
  Publication
- Variational Message Passing
  
  John Winn, Christopher Bishop
  
  Journal of Machine Learning Research | January 2004, Vol 5
  
  Accepted for publication
  
  Publication
- Optimising Synchronisation Times for Mobile Devices
  
  Neil D. Lawrence, Ant Rowstron, Christopher Bishop, Mike Taylor
  
  Advances in Neural Information Processing Systems | January 2001
  
  Publication
- Probabilistic Modelling of Replica Divergence
  
  Ant Rowstron, N. D. Lawrence, Christopher Bishop
  
  HotOS 2001 | January 2001
  
  Publication
- Variational Bayesian Model Selection for Mixture Distributions
  
  A. Corduneanu, Christopher Bishop
  
  Proceedings Eighth International Conference on Artificial Intelligence and Statistics | January 2001
  
  Publication
- Non-linear Bayesian image modelling
  
  C. M. Bishop, J. M. Winn, Christopher Bishop, John Winn
  
  Proceedings Sixth European Conference on Computer Vision | January 2000
  
  Proceedings Sixth European Conference on Computer Vision
  
  Winner of ECCV 2000 Best Paper Prize
  
  Publication
- Variational Relevance Vector Machines
  
  Christopher Bishop, Michael E Tipping
  
  Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence; Proceedings of the 15th International Workshop on Statistical Modelling | January 2000
  
  Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
  
  Publication
- Bayesian PCA
  
  Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1999
  
  Publication
- Latent Variable Models
  
  Christopher Bishop
  
  Learning in Graphical Models | January 1999
  
  Publication
- Neural network training using multi-channel data with aggregate labelling
  
  N. McGrogan, Christopher Bishop, L. Tarassenko
  
  Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
  
  Publication Publication
- Variational Principal Components
  
  Christopher Bishop
  
  Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999
  
  Publication
- Approximating posterior distributions in belief networks using mixtures
  
  Christopher Bishop, N. Lawrence, T. Jaakkola, M. I. Jordan
  
  Advances in Neural Information Processing Systems | January 1998
  
  Advances in Neural Information Processing Systems
  
  Publication
- Ensemble learning for multi-layer networks
  
  D. Barber, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1998
  
  Publication
- Ensemble learning in Bayesian neural networks
  
  D. Barber, Christopher Bishop
  
  Generalization in Neural Networks and Machine Learning | January 1998
  
  Generalization in Neural Networks and Machine Learning
  
  Publication
- Mixture representations for inference and learning in Boltzmann machines
  
  N. Lawrence, Christopher Bishop, M. Jordan
  
  Uncertainty in Artificial Intelligence | January 1998
  
  Uncertainty in Artificial Intelligence
  
  Publication
- Variational Learning in Graphical Models and Neural Networks
  
  Christopher Bishop
  
  Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98 | January 1998
  
  Publication
- Bayesian Inference of Noise Levels in Regression
  
  Christopher Bishop, C. S. Qazaz
  
  Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany | January 1997
  
  Publication
- Bayesian Model Comparison by Monte Carlo Chaining
  
  David Barber, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 1997
  
  Publication
- GTM through time
  
  Christopher Bishop, Geoffrey E. Hinton, Iain G. D. Strachan
  
  Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
  
  Publication
- GTM: a principled alternative to the Self-Organizing Map
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  International Conference on Artificial Neural Networks, ICANN'96 | January 1997
  
  Publication
- Latent Variables, Topographic Mappings and Data Visualization
  
  Christopher Bishop
  
  Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno | January 1997
  
  Publication
- Magnification factors for the GTM algorithm
  
  Christopher Bishop, Markus Svensén, Christopher K. I. Williams
  
  Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997
  
  Publication
- Regression with Input-Dependent Noise: A Bayesian Treatment
  
  Christopher Bishop, Cazhaow S. Qazaz
  
  Advances in Neural Information Processing Systems | January 1997
  
  Publication
- EM optimization of latent variable density models
  
  Christopher Bishop, Markus Svensén, C. K. I. Williams
  
  Advances in Neural Information Processing Systems | January 1996
  
  Publication
- Modelling Conditional Probability Distributions for Periodic Variables
  
  Christopher Bishop
  
  Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK | January 1995
  
  Publication
- Estimating conditional probability densities for periodic variables
  
  Christopher Bishop, C. Legleye
  
  Advances in Neural Information Processing Systems | January 1995
  
  Advances in Neural Information Processing Systems
  
  Publication
- On the relationship between Bayesian error bars and the input data density
  
  C. K. I. Williams, C. Qazaz, Christopher Bishop, H. Zhu
  
  Proceedings Fourth IEE International Conference on Artificial Neural Networks | January 1995
  
  Publication
- Real-time Control of a Tokamak Plasma Using Neural Networks
  
  Christopher Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
  
  Neural Computation | January 1995
  
  Publication
- Recent Progress in the Measurement and Analysis of ECE on JET
  
  D Bartlett, C Bishop, R Cahill, A McLachlan, L Porte, A Rookes, Christopher Bishop
  
  Proceedings of the 9th International Workshop on ECE and ECRH | January 1995
  
  Proceedings of the 9th International Workshop on ECE and ECRH
  
  Publication
- Regularization and Complexity Control in Feed-forward Networks
  
  Christopher Bishop
  
  Proceedings International Conference on Artificial Neural Networks ICANN'95 | January 1995
  
  Proceedings International Conference on Artificial Neural Networks ICANN'95
  
  Publication
- Novelty Detection and Neural Network Validation
  
  Christopher Bishop
  
  IEE Proceedings: Vision, Image and Signal Processing. Special issue on applications of neural networks. | January 1994
  
  Publication
- Neural Network Validation: an Illustration from the Monitoring of Multi-phase Flows
  
  C. M. Bishop, Christopher Bishop
  
  Proceedings IEE Conference on Artificial Neural Networks | May 1993
  
  Publication
- Novelty Detection and Neural Network Validation
  
  Christopher Bishop
  
  Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93 | January 1993
  
  Publication
- Fast Curve Fitting Using Neural Networks
  
  Christopher Bishop
  
  Review of Scientific Instruments | June 1992
  
  Publication
- Hardware Implementation of a Neural Network for Plasma Position Control in Compass-D
  
  Christopher Bishop, P. S. Haynes, C. M. Roach, T. N. Todd, D. L. Trotman, M. E. U. Smith
  
  Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy | January 1992
  
  Publication Publication
- Stability of Anisotropic Pressure Tokamak Equilibria to Ideal Ballooning Modes
  
  Christopher Bishop, R.J. Hastie
  
  Nuclear Fusion | January 1985
  
  Publication
- Exposing variation in climate change risk assessment
  
  Matthew Smith, Drew Purves, Lucas Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, Mark Vanderwel
  
  AGU Fall Meeting | December 2015
  
  Accepted talk at 2015 Fall Meeting of American Geophysical Union
  
  Publication
- Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
  
  Bar Shalem, John Guiver, Christopher Bishop, Yoram Bachrach
  
  September 2014
  
  Publication Project
- Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables
  
  Nevena Lazic, Christopher Bishop, John Winn
  
  Proceedings Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats) | January 2013
  
  Publication Project
- Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition
  
  Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop
  
  Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012
  
  ISBN: ISBN-13 978-88-207-5364-1
  
  Publication
- Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting
  
  Markus Svensén, Qing Xu, David Stern, Steve Hanks, Christopher Bishop
  
  In Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD), San Diego, USA | August 2011
  
  Publication
- A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma
  
  Christopher Bishop
  
  Proceedings of the International Workshop of Statistical Modelling, Valencia | January 2011
  
  ISBN: 978-84-694-5129-8
  
  Publication
- A New Framework for Machine Learning
  
  Christopher Bishop
  
  In computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, June 2008 Lecture Notes in Computer Science | June 2008
  
  Publication
- Discriminative Writer Adaptation
  
  Martin Szummer, Christopher Bishop
  
  10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2006
  
  Publication
- Principled Hybrids of Generative and Discriminative Models
  
  Julia A. Lasserre, Christopher Bishop, Tom Minka
  
  IEEE Conference on Computer Vision and Pattern Recognition | June 2006
  
  Publication
- Generative versus Discriminative Methods for Object Recognition
  
  Ilkay Ulusoy, Christopher Bishop
  
  In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. | June 2005
  
  Publication
- Comparison of Generative and Discriminative Techniques for Object Detection and Classification
  
  Ilkay Ulusoy, Christopher Bishop
  
  Proceedings Sicily Workshop on Object Recognition, Sicily | January 2005
  
  Publication
- Object Recognition via Local Patch Labelling
  
  Christopher Bishop, Ilkay Ulusoy
  
  Proceedings 2004 Workshop on Machine Learning, Sheffield | January 2005
  
  Publication
- Robust Bayesian Mixture Modelling
  
  Markus Svensén, Christopher Bishop
  
  Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005
  
  Publication
- Generative Models and Bayesian Model Comparison for Shape Recognition
  
  Balaji Krishnapuram, Christopher Bishop, Martin Szummer
  
  9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2004
  
  Publication
- Distinguishing text from graphics in on-line handwritten ink
  
  Christopher Bishop, Markus Svensén, Geoffrey E. Hinton
  
  Proceedings International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 | January 2004
  
  accepted for publication
  
  Publication
- Bayesian Hierarchical Mixtures of Experts
  
  Christopher Bishop, Markus Svensén
  
  Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence | January 2003
  
  Publication
- Structured Variational Distributions in VIBES
  
  Christopher Bishop, John Winn
  
  Proceedings Artificial Intelligence and Statistics | January 2003
  
  ISBN 0-9727358-0-1
  
  Publication
- Super-resolution Enhancement of Video
  
  Christopher Bishop, Andrew Blake, Bhaskara Marthi
  
  Proceedings Artificial Intelligence and Statistics | January 2003
  
  ISBN 0-9727358-0-1
  
  Publication
- VIBES: A variational inference engine for Bayesian networks
  
  C. M. Bishop, J. M. Winn, D. Spiegelhalter, Christopher Bishop, John Winn
  
  Advances in Neural Information Processing Systems | January 2002
  
  Publication
- Bayesian Image Super-resolution
  
  Michael E. Tipping, Christopher Bishop
  
  Advances in Neural Information Processing Systems | January 2002
  
  Publication
- Discussion of `Bayesian Treed Generalized Linear Models’ by H. A. Chipman, E. I. George and R. E. McCulloch
  
  Christopher Bishop
  
  Proceedings Seventh Valencia International Meeting on Bayesian Statistics | January 2002
  
  Proceedings Seventh Valencia International Meeting on Bayesian Statistics
  
  Publication
- Neural Networks
  
  Christopher Bishop
  
  Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) | Published by Fontana Press | 1997 | Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) edition
  
  Publication
- Neural Networks
  
  M. I. Jordan, Christopher Bishop
  
  Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook | Published by CRC Press | 1997 | Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook edition
  
  Publication
- An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression
  
  Christopher Bishop
  
  Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer | 1997 | Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications edition
  
  ISBN: 978-1-4615-6099-9
  
  Publication
- Modelling Conditional Probability Densities for Periodic Variables
  
  Christopher Bishop, Ian T. Nabney
  
  Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer Academic Press | 1997 | Mathematics of Neural Networks: Models, Algorithms and Applications edition
  
  Publication
- Neural Networks
  
  M. I. Jordan, Christopher Bishop
  
  ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition
  
  Publication
- Neural Networks: A Pattern Recognition Perspective
  
  Christopher Bishop
  
  Handbook of Neural Computation | Published by Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition
  
  Publication
- Multiphase Flow Monitoring in Oil Pipelines
  
  Christopher Bishop
  
  Murray, A. F. (Ed.), Applications of Neural Networks, 6 | Published by Kluwer | 1995 | Murray, A. F. (Ed.), Applications of Neural Networks edition
  
  Publication
- Reconstruction of Tokamak Density Profiles Using Feed-forward Networks
  
  Christopher Bishop
  
  Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. | 1992, Vol 2 | Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. edition
  
  Publication
- Curvature-driven Smoothing in Back-propagation Neural Networks
  
  Christopher Bishop
  
  Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks | Published by Springer | 1992 | Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks edition
  
  Publication
- A Neural Network Approach to Tokamak Equilibrium Control
  
  Christopher Bishop, Peter Cox, Paul S. Haynes, Colin M. Roach, Mike E. U. Smith, Tom N. Todd, David L. Trotman
  
  Neural Network Applications | Published by Springer | 1992 | Neural Network Applications edition
  
  Publication
- Curvature-driven Smoothing in Back-propagation Neural Networks
  
  Christopher Bishop
  
  Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 | Published by IEEE | 1990, Vol 2 | Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 edition
  
  Publication
- A Unified Modeling Approach to Data-Intensive Healthcare
  
  Iain Buchan, John Winn, Christopher Bishop
  
  The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition
  
  Publication
- Clumps, Clusters and Classification
  
  Christopher Bishop
  
  Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham | Published by Springer | 2004 | Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham edition
  
  Publication
- Pattern Recognition and Feedforward Neural Networks
  
  Christopher Bishop
  
  January 1999, pp. 629-631
  
  The MIT Encyclopedia of the Cognitive Sciences
  
  Publication
- Bayesian Regression and Classification
  
  Christopher Bishop, Michael E. Tipping
  
  January 2003, Vol 190: pp. 267-285
  
  Advances in Learning Theory: Methods, Models and Applications
  
  Publication
- GTM: The Generative Topographic Mapping
  
  Christopher Bishop, Markus Svensén, Christopher K.I. Williams
  
  January 1998, Vol 10: pp. 215-234
  
  January 1998
  
  Publication
- Regression with Input-Dependent Noise: A Gaussian Process Treatment
  
  Paul W. Goldberg, Christopher K. I. Williams, Christopher Bishop
  
  NCRG/98/002 | January 1998
  
  Advances in Neural Information Processing Systems
  
  Publication
- Bayesian methods for neural networks
  
  Christopher Bishop
  
  NCRG/95/009 | January 1995
  
  USENIX ICAC
  
  Publication
- Mixture Density Networks
  
  Christopher Bishop
  
  NCRG/94/004 | January 1994
  
  Publication
- Micro-instability Based Models for Confinement Properties and Ignition Criteria in Tokamaks
  
  Christopher Bishop
  
  | January 1986
  
  Principles of Programming Languages (POPL '08)
  
  Publication

Christopher Bishop

Publications

Accurate and scalable exchange-correlation with deep learning

Deep Learning: Foundations and Concepts

Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers

Exposing variation in climate change risk assessment

Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years

The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together

Changing how Earth System Modelling is done to provide more useful information for decision making, science and society

Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies

Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model

Trajectories of Lung Function during Childhood

Artificial Life

Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts

Model-Based Machine Learning

Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables

Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition

Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting

A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma

Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study

A Unified Modeling Approach to Data-Intensive Healthcare

A New Framework for Machine Learning

Generative or Discriminative? Getting the Best of Both Worlds

Discriminative Writer Adaptation

Principled Hybrids of Generative and Discriminative Models

Pattern Recognition and Machine Learning

Generative versus Discriminative Methods for Object Recognition

Comparison of Generative and Discriminative Techniques for Object Detection and Classification

Object Recognition via Local Patch Labelling

Robust Bayesian Mixture Modelling

Generative Models and Bayesian Model Comparison for Shape Recognition

Clumps, Clusters and Classification

Distinguishing text from graphics in on-line handwritten ink

Variational Message Passing

Bayesian Hierarchical Mixtures of Experts

Bayesian Regression and Classification

Structured Variational Distributions in VIBES

Super-resolution Enhancement of Video

Bayesian Image Super-resolution

Discussion of `Bayesian Treed Generalized Linear Models’ by H. A. Chipman, E. I. George and R. E. McCulloch

VIBES: A variational inference engine for Bayesian networks

Automatic signal classification in fluorescence in-situ hybridization images

Feature representation for the automatic analysis of fluorescence in-situ hybridization images

Optimising Synchronisation Times for Mobile Devices

Probabilistic Modelling of Replica Divergence

Variational Bayesian Model Selection for Mixture Distributions

Non-linear Bayesian image modelling

Variational Relevance Vector Machines

Bayesian PCA

Latent Variable Models

Mixtures of Probabilistic Principal Component Analyzers

Neural network training using multi-channel data with aggregate labelling

Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data

Pattern Recognition and Feedforward Neural Networks

Probabilistic Principal Component Analysis

Variational Principal Components

Neural Networks and Machine Learning

A Hierarchical Latent Variable Model for Data Visualization

Approximating posterior distributions in belief networks using mixtures

Developments of the Generative Topographic Mapping

Ensemble learning for multi-layer networks

Ensemble learning in Bayesian neural networks

GTM: The Generative Topographic Mapping

Markovian Inference in Belief Networks

Mixture representations for inference and learning in Boltzmann machines

Pulsed Neural Networks

Regression with Input-Dependent Noise: A Gaussian Process Treatment

Variational Learning in Graphical Models and Neural Networks

An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression

Bayesian Inference of Noise Levels in Regression

Bayesian Model Comparison by Monte Carlo Chaining

Bayesian neural networks

GTM through time

GTM: a principled alternative to the Self-Organizing Map

Latent Variables, Topographic Mappings and Data Visualization

Magnification factors for the GTM algorithm

Modelling Conditional Probability Densities for Periodic Variables

Neural Networks

Neural Networks

Regression with Input-Dependent Noise: A Bayesian Treatment