CAIMS 2005

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Organizers: Chris Bowman and Richard Baumgartner

Theoretical and practical aspects of learning from data.

Topics include: Statistical learning algorithms, neural networks, kernel methods, dimensionality reduction feature selection, error estimation, clustering, independent component analysis, model selection, combinatorial optimization, classifier fusion, applications of pattern recognition.

Plenary Speaker:

Tin Kam Ho (Bell Laboratories) Abstract

Invited Speakers:

Jacky Baltes (University of Manitoba) Abstract
Robert Holte (University of Alberta) Abstract
Erinija Pranckeviciene (Institute for Biodiagnostics) Abstract
Ray Somorjai (Institute for Biodiagnostics) Abstract
Michel Toulouse (University of Manitoba) Abstract
Jianhong Wu (York University) Abstract

University of Manitoba, Winnipeg, MB Canada R3T 2N2
Phone:  204-474-8880
Questions or Comments: www@umanitoba.ca