Graphical Models

Introduction to Machine Learning - 10-701

Bayes nets, dynamic programming on graphs

slides, scribbles

Factor graphs, Markov random fields, junction trees

slides, annotated

Junction trees, belief propagation

slides, annotated

The first few minutes of class are missing from the video due to a camera issue.

Extra resources

Daphne Koller's book: chapters on directed] and [http:www.cs.cmu.edu epxingClass10708reading/Ch}}+204.pdf undirected models.

Kevin Murphy's book also has a good overview.