Talks and Presentations

Principles and Applications of Probabilistic Learning
ACM SIGKDD Tutorial, August 2005
[ PPT ]
Learning from Data with Graphical Models
Frontiers in Computer Science and Engineering talk, UCSD, November 2004
[ PPT ]
Author-Topic Models for Large Corpora
Talk given in various places (University of Washington, UCSD, Tufts) in 2004
[ PPT ]
From Pearson to the Web: A Guided Tour of Finite Mixture Models
Keynote talk at ICML 2001 Conference , June 2001
[ PPT ]
A Review of Hidden Markov Models for Context-Based Classification
ICML '01 Workshop on Machine Learning for Spatial and Temporal Data, June 2001
[ PPT ]
Large Data Set Analysis using Mixture Models
IBM Watson Research, June 2001
[ PPT ]