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Markov Random Fields
In tomorrow's discussion, we will first go over Markov Random Fields (MRFs)
and then discuss the Conditional Random Fields (CRFs), which are a special
case of MRFs.
I think the material that Dr.Rao sent suffice for CRFs. The best material
I found for MRFs is the Chapter 5 from Bayesian Networks and Beyond book
(Draft). But the following papers help in understanding MRFs.
1. Belief Networks, Hidden Markov Models, and Markov Random Fields: A
Unifying View: http://www.datalab.uci.edu/papers/prl.pdf
2. Lecture Notes by Lise Getoor, based on chapters 4 and 5 of Bayesian
Networks and Beyond by Daphne Koller and Nir Friedman (Draft):