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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.

 

The Tutorial slides are available at the urls listed below under each speaker.

 

Tutorials – Sunday, December 4, 2005

Session I:  9:30-11:30 am

Lawrence Saul
Department of Computer and Information Science,
University of Pennsylvania
Spectral Methods for Dimensionality Reduction
Slides
 
 
Satinder Singh
University of Michigan
Reinforcement Learning in Artificial Intelligence:
Learning, Planning and Knowledge Representation
Slides
Video
 
 
Session 2:  1:00-3:00 pm

 

Stuart Russell and Brian Milch
Department of Electrical Engineering and Computer Science,
University of California, Berkeley
First-Order Probabilistic Languages: Into the Unknown
Slides
 
Bruno Olshausen
Department of Neurobiology, Physiology & Behavior and
Center for Neuroscience, UC Davis; Redwood Neuroscience Institute
Natural Scene Statistics and Biological Vision: from Pixels to Percepts
Slides
Video
 
 
Session 3:  3:30-5:30 pm

 

Mike Jordan
Department of Electrical Engineering and Computer Science, and Department of Statistics,
University of California, Berkeley
Nonparametric Bayesian Methods: Dirichlet Processes,
Chinese Restaurant Processes and All That
Slides
 
 
Nancy Kanwisher
Department of Brain and Cognitive Sciences,
Massachusetts Institute of Technology
Video
 
Frank Tong
Department of Psychology, Vanderbilt University
Reading Brains: fMRI Studies of Human Vision
Slides
Video