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Published Date

Tool

BioNLP Shared Task 2011 Dev-Set Results

The Natural Language Processing group at Microsoft Research is sharing the development-set results for the BioNLP Shared Task 2011 to help analysis of whether there is an upper bound on recall and precision in the…

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Publication

Customizable Route Planning

Daniel Delling, Andrew Goldberg, Thomas Pajor, Renato Werneck

Proceedings of the 10th International Symposium on Experimental Algorithms (SEA’11) | May 2011

Proceedings of the 10th International Symposium on Experimental Algorithms (SEA'11)

Publication

Why Word Error Rate Is Not A Good Metric for Speech Recognizer Training for the Speech Translation Task?

Xiaodong He, Li Deng, Alex Acero

Proc. ICASSP | May 2011

Publication

Hang on a Sec! Effects of Proactive Mediation of Phone Conversations while Driving

Shamsi Iqbal, Eric Horvitz, Y.C. Ju, Ella Mathews, Y. C. Ju

ACM Conference on Human Factors for Computing Systems (CHI) | May 2011

ACM Conference on Human Factors for Computing Systems (CHI)

Received Honorable Mention award

Video Project

Publication

Large Vocabulary Continuous Speech Recognition With Context-Dependent DBN-HMMS

George Dahl, Dong Yu, Li Deng, Alex Acero

Proc. ICASSP, Prague | May 2011

Proc. ICASSP, Prague

Project

Publication

Learning a robust relevance model for search using kernel methods

Wei Wu, Jun Xu, Hang Li, Satoshi Oyama, Wei Wu

Journal of Machine Learning Research (JMLR) | May 2011, Vol 12

Publication

Blind grasping: Stable robotic grasping using tactile feedback and hand kinematics

Hao Dang

Robotics and Automation (ICRA), 2011 IEEE International Conference on | May 2011

Robotics and Automation (ICRA), 2011 IEEE International Conference on

Video

Real-Time Human Pose Recognition in Parts from Single Depth Images [Video]

April 26, 2011 | Andrew Blake, Andrew Fitzgibbon, Jamie Shotton, Toby Sharp

This video explains the body part recognition algorithm for Kinect published at CVPR 2011.

01:45

Publication

Contextual Bandits with Linear Payoﬀ Functions

Wei Chu, Lihong Li, Lev Reyzin, Robert E. Schapire

AISTATS 2011 | April 2011

Project

Tool

AdaRank

The basic idea of AdaRank is constructing “weak rankers” repeatedly based on reweighted training queries and linearly combining the weak rankers for making ranking predictions. In learning, AdaRank minimizes a loss function directly defined on…

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Artificial Intelligence

Highlights