Talks and Presentations

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