Tutorials Program

 

The Tutorials provides a choice of six two-hour tutorials by leading scientists. The topics span a wide range of subjects including neuroscience, learning algorithms and theory, bioinformatics, image processing, and data mining.

 

Tutorials – Monday, December 13, 2004

Session I:  9:30-11:30 am

Radford Neal, University of Toronto

Bayesian Methods for Machine Learning

 

David Parkes, Harvard University

Computational Mechanism Design and Auctions

 

Session 2:  1:00-3:00 pm

 

Shahar Mendelson, Australian National University

A Geometric Approach to Statistical Learning Theory

 

William Bialek, Princeton University

Optimization Principles in Neural Coding and Computation

 

Session 3:  3:30-5:30 pm

 

Daniel Wolpert, University College London

Probabilistic Computations in Human Sensoriomotor Control

 

Richard Szeliski, Microsoft Research

Acquiring Detailed 3D Models from Images and Video