Monday, January 4
| Time | Session | Speaker | |
|---|---|---|---|
|
7:30–8:45
|
Registration/Continental Breakfast |
||
| 8:45–9:00 |
Opening Comments |
David Heckerman and Joe Whittaker | |
|
9:00–11:00
|
Session I: Model Choice |
||
| Process-oriented evaluation: The next step | Pedro Domingos | ||
| Model choice | Alan Gelfand and Sujit Ghosh | ||
| A note on the comparison of polynomial selection methods | Murlikrishna Viswanathan | ||
| Pattern discovery via entropy minimization | Matthew Brand | ||
| 11:00–11:30 | Break | ||
| 11:30–12:30 | Session II: Latent variables Chair: Kathyrn Laskey |
||
| On the geometry of DAG models with hidden variables | Dan Geiger, David Heckerman, Henry King, Chris Meek | ||
| Efficient structure search in the presence of latent variables | Thomas Richardson, Heiko Bailer, Mooulinath Bannerjee | ||
| 12:30–1:30 | Lunch (provided) | ||
| 1:30–5:00 | Break | ||
| 5:00–6:00 | Poster Summaries (2 mins/poster) Chair: Joe Whittaker |
||
| 6:00–7:00 | Dinner | ||
| 7:00–9:30 | Poster Sessions |
Tuesday, January 5
| Time | Session | Speaker | |
|---|---|---|---|
|
8:00–9:00
|
Continental Breakfast |
||
| 9:00–10:00 |
Session III: Theory |
||
|
Conditional products: an alternative approach to conditional independence |
Phil Dawid, Milan Studeny | ||
| Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency | Wenxin Jiang, Martin Tanner | ||
| 10:00–10:30 | Coffee Break | ||
| 10:30–11:30 | Session IV: Regression Chair: Padhraic Smyth |
||
| Boosting methodology for regression problems | Greg Ridgeway, David Madigan, Thomas Richardson | ||
| Probabilistic kernel regression models | Tommi Jaakkola, David Haussler | ||
| 11:30–12:30 | Session V: Computational Methods Chair: Padhraic Smyth |
||
| Learning structure from data efficiently: applying bounding techniques | Nir Friedman, Lise Getoor | ||
| Efficient mining of statistical dependencies | Tim Oates, Paul Cohen, Casey Durfee | ||
| 12:30–2:00 | Lunch (provided) | ||
| 2:00–3:30 | Session VI: Applications | ||
| Causal mechanisms and classification trees for predicting chemical carcinogens | Louis A Cox | ||
| Geometric modelling of a nuclear environment | Jan De Geeter | ||
| Modeling decision tree performance with the power law | Lewis Frey, Doug Fisher | ||
| 3:30–4:40 | Business Meeting |
Wednesday, January 6
| Time | Session | Speaker | |
|---|---|---|---|
|
8:00–9:00
|
Continental Breakfast |
||
| 9:00–10:30 |
Session VII: Inference |
||
|
Model-independent mean field theory as a local method for approximate propagation of information |
Michael Haft, Reimar Hofmann, Volker Tresp | ||
| Hierarchical IFA belief networks | Hagai Attias | ||
| Stochastic local search for Bayesian network | Kalev Kask, Rina Dechter | ||
| 10:30–11:00 | Coffee Break | ||
| 11:00–12:00 | Session VIII: Applications Chair: Doug Fisher |
||
| An experiment in causal discovery using a pneumona database | Peter Spirtes, Greg Cooper | ||
| Bayesian graphical models for non-compliance in randomaized trials | David Madigan | ||
| 12:00–12:15 | Closing Remarks |
Plenary Presentations lasted 25 minutes with 5 minutes for questions.