http://mcb111.org/w06/w06-lecture.html
Has some nice textbook downloads – e.g.
http://mcb111.org/w06/KollerFriedman.pdf
QT:{{”
There are many good books to learn about probabilistic models. “Probabilistic graphical models: principles and techniques” (by Koller & Friedman) is a comprehensive source about more general probabilistic models than the one we are going to study here.
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Subset of chap 7 focuses on GMRF
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