Slides from Recent Talks
-
Principles and Applications of Probabilistic Learning
ACM SIGKDD Tutorial, August 2005.
[ Powerpoint ]
[ PDF ]
-
Learning from Data with Graphical Models
Frontiers in Computer Science and Engineering talk, UCSD, November 2004.
[ Powerpoint ] (Note that this is a very
large 14 MB file)
-
Author-Topic Models for Large Corpora
Talk given in various places (University of Washington, UCSD, Tufts) in 2004.
[ Powerpoint ]
-
From Pearson to the Web: A Guided Tour of Finite Mixture Models
Keynote talk at ICML 2001 Conference , June 2001.
[ Powerpoint ]
or
[ Compressed (.zip, Powerpoint)].
-
A Review of Hidden Markov Models for Context-Based
Classification
ICML '01 Workshop on Machine Learning for Spatial and Temporal Data, June 2001.
[ Powerpoint ]
or
[ Compressed (.zip, Powerpoint)].
-
Large Data Set Analysis using Mixture Models
IBM Watson Research, June 2001
[ Powerpoint ]
or
[ Compressed (.zip, Powerpoint)].