Graphical ModelsIntroduction to Machine Learning - 10-701
Bayes nets, dynamic programming on graphsFactor graphs, Markov random fields, junction treesJunction trees, belief propagationThe first few minutes of class are missing from the video due to a camera issue. Extra resourcesDaphne 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. |