TUESDAY April 2nd | |
4:00 | Registration - outside Ballroom 1 |
5:30 | Dinner - Golden Cliff |
7:00 | Oral Session 1 - Ballroom 1 |
* 7:00 | Eric Brill (Microsoft) Automatic Question-Answering - Letting the Data do All the Work |
7:40 | Jonathan S. Yedidia (Mistubishi Electric Research Lab ) The Region Graph Method |
8:00 | Break |
8:20 | Martin Wainwright, Tommi Jaakkola, Alan Willsky(MIT) A new class of upper bounds on the log partition function based on convex combinations in the exponential domain |
8:40 | Oliver B. Downs, Hagai Attias (Microsoft Research ) The Tunnelling Salesman: Truncated Variational Approximations for Quantum Mechanical Global Optimisation |
9:00 | Corinna Cortes, Daryl Pregibon, and Chris Volinsky (AT&T Shannon Research Labs ) Constructing and Maintaining Signatures in Large Transactional Data Streams |
WEDNESDAY April 3rd | |
7:00 | Breakfast - Golden Cliff |
8:00 | Oral Session 1 - Ballroom 1 |
* 8:00 | James M. Robins (Harvard School of Public Health) Estimation of Optimal Treatment Strategies |
8:40 | Pierre Baldi and Gianluca Pollastri (UC Irvine) Generalized IOHMMs and Recurrent Network Architectures |
9:00 | Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller (Stanford, Hebrew University) From Promoter Sequence to Expression: A Probabilistic Framework |
9:20 | Break |
* 9:40 | Richard Durbin (Sanger Institute) Finding genes in the human genome sequence |
10:20 | Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Douglas L. Brutlag(Stanford, University of North Carolina) Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion |
10:40 | Kristin Bennett, Jinbo Bi, Curt M. Breneman, Mark J. Embrechts, and Minghu Song(Rensselaer Polytechnic Institute) Model mining to support prediction of molecule activities |
11:00 | Simon Kasif and Vladimir Pavlovic (Boston University) Learning Genomic Evolution |
11:20 | Lunch - Golden Cliff |
5:30 | Dinner - Golden Cliff |
7:00-9:30 | Poster Session A |
THURSDAY April 4th | |
7:00 | Breakfast - Golden Cliff |
8:00 | Oral Session 1 - Ballroom 1 |
* 8:00 | Moshe Tennenholtz (Technion) Efficient reinforcement learning in hostile environments |
8:40 | Brendan J. Frey, Nebojsa Jojic (University of Toronto, Microsoft) Inferring What's Behind the Scene |
9:00 | Tai Sing Lee (CMU) Dynamics and Plasticity of Processing in the Early Visual Cortex |
9:20 | Break |
* 9:40 | Dan Ellis (Columbia University) Auditory Scene Analysis: Computational models of sound organization |
10:20 | Hagai Attias and Li Deng (Microsoft Research USA ) A New Approach to Speech Enhancement Microphone Array using a Dynamic Bayesian |
10:40 | Lawrence K. Saul, Daniel Lee, Yann LeCun(University of Pennsylvania, NEC Research Institute) Real time voice processing with audiovisual feedback |
11:00 | Christopher J.C. Burges, John C. Platt, Soumya Jana(Microsoft) Distortion Discriminant Analysis for Audio Fingerprinting |
11:20 | Lunch - Golden Cliff |
5:30 | Dinner - Golden Cliff |
7:00-9:30 | Poster Session B |
FRIDAY April 5th | |
7:00 | Breakfast - Golden Cliff |
8:00 | Oral Session 1 - Ballroom 1 |
8:00 | Gert R.G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui and Michael Jordan (UC Berkeley) Learning the Kernel Matrix with Semi-Definite Programming |
8:20 | Thomas Hofmann, Stuart Andrews, Ioannis Tsochantaridis (Brown University ) Multiple Instance Learning with Generalized Support Vector Machines |
8:40 | Risi Imre Kondor and John Lafferty (Carnegie Mellon University ) Diffusion Kernels |
9:00 | Ashutosh Garg, Sariel Har-Peled, Dan Roth (University of Illinois, Urbana) On Generalization Bounds Projection Profile and Margin Distribution |
9:20 | Break |
* 9:40 | Oren Etzioni (University of Washington) Crossing the Chasm in Machine Learning: moving from function approximation to complete learning systems |
10:20 | Sepp Hochreiter and Klaus Obermayer (TU Berlin) Classification of Pairwise Proximity Data with Support Vectors |
10:40 | Christopher Raphael (University of Massachusetts, Amherst) MAP Estimation in Hybrid Graphical Models with an Application to Musical Rhythm Recognition |
11:00 | Nathan Intrator, Nicola Neretti, Jim Simmons (Brown University ) Modeling the Bat's echolocation system |
11:20 | Lunch - Golden Cliff |
5:30 | Banquet - Golden Cliff |
7:30 | Oral Session 1 - Ballroom 1 |
* 7:30 | Thomas Vetter (University of Freiburg) Learning the appearance of faces: A Morphable Face Model for the analysis and the synthesis of images. |
8:10 | Break |
* 8:30 | Dan Koditschek (University of Michigan) Better Work: Saying What to Learn and Learning What to Say to Your Legs |
9:10 | Closing Remarks (Yann LeCun) |
9:15 | Adjourn |