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Past Meetings
Monday April 29th
Speaker:
Igor Jurisica
(Ontario Cancer Institute)
Title:
Computational Approaches for High-Throughput Biology
Monday April 15th
Speaker:
Nando de Freitas
(UBC)
Title:
Particle Filtering
Monday April 1st
Speaker:
Yee Whye Teh
Title:
Energy-Based Formulation of ICA
Monday March 25th
Speaker:
Andrew Ng
(UC Berkeley)
Title:
Shaping and policy search in reinforcement learning and On Spectral Clustering: Analysis and an algorithm
Monday March 11th
Speaker:
Max Welling
Title:
Unsupervised Learning of Models for Visual Object Class Recognition
Monday March 4th
Speaker:
Toniann Pitassi
Title:
On the tractability of belief net inference and counting satisfying assignments
Monday Feb 25th
Speaker:
Trausti Thor Kristjansson
(University of Waterloo)
Title:
Robust Speech Recognition: the Algonquin Algorithm
Monday Feb 11th
Speaker:
Geoffrey Hinton
Title:
Contrastive Backpropagation
Thursday Feb 7th
Speaker:
Judy Goldsmith
(University of Kentucky)
Title:
The Bayesian Advisor Project
Paper:
Alexander Dekhtyar and Judy Goldsmith
The Bayesian Advisor Project: Modeling Academic Advising
Wed Nov 21
Speaker:
Kyros Kutulakos
Title:
Toward a Probabilistc Theory of Occupancy
Wed Nov 7
Speaker: Anitha Kannan
Title:
Product Analysis: Learning to model observations as products of hidden variables
Wed Oct 24
Speaker:
Dale Schuurmans
(University of Waterloo)
Title:
Direct value-approximation for factored Markov decision processes
Paper:
Schuurmans, D. and Patrascu, R. (to appear NIPS*2001)
Direct value-approximation for factored MDPs
Wed Oct 17
Speaker:
Danny Roobaert
Title:
Pedagogical Support Vector Learning: A Pure Learning Approach to Object Recognition
PhD Thesis:
Danny Roobaert, 2001
Pedagogical Support Vector Learning: A Pure Learning Approach to Object Recognition
Wed Oct 10
Speaker:
Radford Neal
Title:
Transferring prior information between models using imaginary data
Technical report:
Radford Neal.
Transferring prior information between models using imaginary data
Wed Oct 03
Speaker:
Craig Boutilier
Title:
Decision-Teoretic Approaches to Preference Elicitation
Relevant paper:
Chajewska, U., L. Getoor, J. Norman and Y. Shahar (1998)
Utility Elicitation as a Classification Problem
Wed Sept 26
Speaker:
Greg Kondrak
Title:
Learning to identify cognates
Relevant papers:
G. Kondrak.
Identifying Cognates by Phonetic and Semantic Similarity.
G. Kondrak.
A New Algorithm for the Alignment of Phonetic Sequences.
Wed Sept 19
Speaker:
Sam Roweis
Title: Learning Probabilistic Relational Models
Relevant paper:
Friedman, N., L. Getoor, D. Koller, A. Pfeffer. IJCAI-99
Learning Probabilistic Relational Models
