| 4:00 | Registration - outside BALLROOM 1 |
| 5:30 | Dinner - Golden Cliff |
| BALLROOM 1 | |
| 7:00 * | Tom M. Mitchell (Carnegie Mellon University) "Supervised Learning from Unlabeled Data" |
| 7:40 | Michael Kearns (AT&T), Yishay Mansour
(AT&T, Tel Aviv University), Andrew Y. Ng (UC Berkeley) "Sparse Sampling Methods for Planning and Learning in Large MDPs and POMDPs" |
| 8:00 | Break (BALLROOM 1) |
| 8:20 * | Tomaso Poggio (MIT) "A trainable system for visual object detection and classification" |
| 7:00 | Breakfast - Golden Cliff |
| BALLROOM 1 | |
| 8:00 | Simon Kasif (University of Illinois, Johns Hopkins
University), Steven Salzberg (The Institute for Genomic
Research), Art Delcher (Celera Inc, Loyola College),
Owen White (The Institute for Genomic Research) "Gene Idenfification Using Interpolated Context Models" |
| 8:30 | Leon Bottou (AT&T Labs) "About Direct Regression and Density Estimation" |
| 8:40 | Ralph Neuneier, Oliver Mihatsch (Siemens AG) "Risk Sensitive Control and Reinforcement Learning" |
| 9:00 | Hagai Attias, Zoubin Ghahramani (University College London) "Enhancing Generalization of Supervised Learning Algorithms by Coupling to Graphical Models" |
| 9:20 | Break (BALLROOM 1) |
| 9:40 * | Pietro Perona (Caltech) "Where is the Sun: An Exploration of Pre-Shape Perception" |
| 10:20 | Daniel D. Lee (Bell Laboratories),
Uri Ronkni, Haim Sompolinsky (Hebrew University) "Higher Order Structure of Natural Images and Their Implications for Nonlinear Generative Models" |
| 10:40 | Ingemar J. Cox, Matt L. Miller (NEC Research Institute),
Thomas P. Minka (MIT Media Lab), Thomas V. Papathomas
(Rutgers University), Peter N. Yianilos (NEC Research Institute) "The Bayesian Image Retrieval System, PicHunter: Theory, Implementation and Psychophysical Experiments" |
| 11:00 | L.R. Williams, J.W. Zweck (University of New Mexico) "A wavelet basis for Euclidean group invariant computation of stochastic completion fields" |
| 11:20 | Lunch - Golden Cliff |
| 5:30 | Dinner - Golden Cliff |
| SUPERIOR ROOM & LOBBY | |
| 7:00 | Poster Session A |
| 8:00 | Poster Session B |
| 7:00 | Breakfast - Golden Cliff |
| BALLROOM 1 | |
| 8:00 * | Alex Pentland (MIT Media Laboratory) "Learning Human Behaviors" |
| 8:40 | Brendan J. Frey (University of Waterloo),
Nebojsa Jojic (University of Illinois at Urbana-Champaign) "Transformed Mixtures of Gaussians" |
| 9:00 | Sue Becker, Adeline Chin, Ted Meeds (McMaster University) "Modelling episodic memory: A global cost function that leads to fast, local, high-capacity learning" |
| 9:20 | Break - BALLROOM 1 |
| 9:40 * | Alistair Sinclair (UC Berkeley) "Convergence Rates for Monte Carol Experiments" |
| 10:20 | Harri Lappalainen, Xavier Giannakopoulos,
Juha Karhunen (Helsinki University of Technology) "Nonlinear blind Source Separation Using Ensemble Learning" |
| 10:40 | Todd K. Leen (Oregon Graduate Institute) "Mixture Models and Non-Uniqueness" |
| 11:00 | Hideyuki Watanabe, Satoru Fujita, Shigeru Katagiri
(ATR Human Information Processing Research Laboratories) "Sound Separation Using Speech Production Models" |
| 11:20 | Lunch - Golden Cliff |
| 5:30 | Dinner - Golden Cliff |
| SUPERIOR ROOM & LOBBY | |
| 7:00 | Poster Session C |
| 8:00 | Poster Session D |
| 7:00 | Breakfast - Golden Cliff |
| BALLROOM 1 | |
| 8:00 * | Eric Winfree (Princeton and Caltech) "Architect Collective Computation by Molecules" |
| 8:40 | Yoshua Bengio, Simon Latendresse,
Charles Dugas (University of Montreal) "Gradient-Based Learning of Hyper-Parameters" |
| 9:00 | Thomas Hofmann (UC Berkeley & International CS Institute) "A Probabilistic Model for Latent Semantic Analysis" |
| 9:20 | Break - BALLROOM 1 |
| 9:40 * | David Haussler (University of California)
Tommi Jaakkola (MIT), Mark Diekhans, "Hidden markov models and Fisher kernels for biosequence analysis" |
| 10:20 | Simon Tong, Daphne Koller (Stanford University) "Bayes Optimal Hyperplanes - Maximal Margin Hyperplanes" |
| 10:40 | Lew Mason, Peter Bartlett, Jonathan Baxter (Australian National
University), Marcus Frean (The University of Queensland) "Learning convex combinations of classifiers by direct optimization of margins" |
| 11:00 | Thomas Briegel, Volker Tresp (Siemens) Kernel-based state space models |
| 11:20 | Lunch - Golden Cliff |
| 5:30 | Dinner - Golden Cliff |
| 7:30 | Peter N. Belhumeur (Yale University) "Representing and Recognizing Objects Under Variable Illumination" |
| 7:50 | Donald Hindle, Julia Hirschberg, Fernando Pereira,
Amit Singhal, Steve Whittaker (AT&T Labs-Research) "Audio Browsing and Retrieval: the SCAN System" |
| 8:10 | D. Taylor, M. Towsey, J. Diederich (Queensland
University of Technology, Brisbane) "Neural Network Assistance for project SERENDIP" |
| 8:30 | Break - BALLROOM 1 |
| 8:50 * | Lorin Grubb (Carnegie Mellon University) "A Statistical Method for Tracking Live Vocal Performances" |
| 9:30 | Adjourn |