| TUESDAY April 4th | |
| 4:00 | Registration - outside Ballroom 1 |
| 5:30 | Dinner - Golden Cliff |
| 7:00 | Oral Session 1 - Ballroom 1 |
| 7:00 | David Cohn and Huan Chang,
(Just Research and CMU) Learning the Structure in Document Bases |
| 7:20 | Andrew McCallum, Dayne Frietag, Fernando Pereira,
(CMU and AT&T) Maximum Entropy Markov Models for Information Extraction and Segmentation |
| 7:40 | Volker Tresp
(Siemens ) The Generalized Bayesian Committee Machine |
| 8:00 | Break |
| 8:20 | Sam Roweis and Geoff Hinton
(Gatsby Unit, University College London) One Microphone Source Separation |
| 8:40 | David Heckerman, Eric Horvitz, John Platt, Robert Rounthwaite, Christopher Meek, Susan Dumais, David Maxwell Chickering, and Andy Jacobs
(Microsoft Research ) Adaptive Filtering of Junk Email |
| WEDNESDAY April 5th | |
| 7:00 | Breakfast - Golden Cliff |
| 8:00 | Oral Session 1 - Ballroom 1 |
| * 8:00 | Craig Boutillier
(University of British Columbia) Factored POMDPs and Belief State Approximation |
| 8:40 | Uri Lerner, Daphne Koller, Ronald Parr
(Stanford University ) Tracking in hybrid dynamic Bayesian networks |
| 9:00 | Yair Weiss, William Freeman
(UC Berkeley, and Mitsubishi Electric Research Lab) On the fixed points of the max-product algorithm |
| 9:20 | Break |
| * 9:40 | Geoffrey Hinton
(Gatsby Unit, University College London) Training Products of Experts by Maximizing Contrastive Likelihood |
| 10:20 | Daniel Lee and Sebastian Seung
(Bell Labs and MIT) Hidden nonnegative Variable Models for Dynamic Data |
| 10:40 | Sanjoy Dasgupta
(UC Berkeley ) Random Projection as a tool for learning high-dimensional mixture models |
| 11:00 | Sebastian Thrun
(Carnegie Mellon University ) Particle Filters for Mobile Robot Navigation |
| 11:20 | Lunch - Golden Cliff |
| 5:30 | Dinner - Golden Cliff |
| 7:00 | Poster Session A |
| 8:00 | Poster Session B |
| THURSDAY April 6th | |
| 7:00 | Breakfast - Golden Cliff |
| 8:00 | Oral Session 1 - Ballroom 1 |
| * 8:00 | John Lafferty
(Carnegie Mellon University ) Learning Language Models for Information Retrieval |
| 8:40 | Dale Schuurmans and Finnegan Southey
(University of Waterloo ) An adaptive regularization method for supervised learning |
| 9:00 | Leon Bottou, Yann LeCun, Vladimir Vapnik
(AT&T Labs - Research) Predicting Learning Curves without the Ground Truth Hypothesis |
| 9:20 | Break |
| * 9:40 | Shun-Ichi Amari
(U. of Tokyo - Riken) Information Geometry of Multilayer Perceptrons |
| 10:20 | Lyle H. Ungar, Greg Grudic
(University of Pennsylvania, ) Boundary Localized Reinforcement Learning for Robotics |
| 10:40 | Eric B. Baum
(NEC Research Institute) Toward Powerful Reinforcement Learning |
| 11:00 | Satinder Singh, Michael Kearns, Marilyn Walker, and Diane Litman
(AT&T Labs - Research) Automatic Optimization of Dialogue Policy via Reinforcement Learning |
| 11:20 | Lunch - Golden Cliff |
| 5:30 | Dinner - Golden Cliff |
| 7:00 | Poster Session C |
| 8:00 | Poster Session D |
| FRIDAY April 7th | |
| 7:00 | Breakfast - Golden Cliff |
| 8:00 | Oral Session 1 - Ballroom 1 |
| * 8:00 | Trevor Hastie
(Stanford University ) Gene Shaving: a new class of clustering methods for expression arrays |
| 8:40 | Rich Caruana, David Cohn, Andrew McCallurn
(Just Research and CMU) Semi-supervised Clustering with User Feedback |
| 9:00 | Eric Brill
(Microsoft Research ) Regular Expression Learning for Natural Language Processing |
| 9:20 | Break |
| * 9:40 | Ehud Kalai
(Northwestern University) Rational Interactive Learning |
| 10:20 | Vladimir Pavlovic and James M. Rehg
(Compaq) Learning Switching Linear System Models of Figure Motion from Image Sequences |
| 10:40 | Lars Schwabe, Peter Adorjan, and Klaus Obermayer
(Technische Universitat Berlin, ) The Principle of 'Dynamic Coding' |
| 11:00 | D. Ormoneit, H. Sidenbladh, M. J. Black, and T. Hastie
(Stanford University, and Xerox Parc) Stochastic Modeling and Tracking of Human Motion |
| 11:20 | Lunch - Golden Cliff |
| 5:30 | Banquet - Golden Cliff |
| 7:40 | Oral Session 1 - Ballroom 1 |
| 7:40 | Peter N. Belhumeur Athinodoros S. Georghiades
(Yale University ) A Photometric Method for Synthesizing Photorealistic Pictures Under Changes in Viewpoint and Lighting |
| 8:00 | Erik Winfree
(Caltech ) Synthetic Transcriptional Networks and Neural Networks |
| 8:20 | Break |
| * 8:40 | Deborah Gordon
(Stanford) The Organization of Work in Ant Colonies |
| 9:00 | Adjourn |