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Bayesian Networks tutorial
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Written by Wei-Jing Zhu
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Wednesday, 21 March 2007
With so many papers and algorithms written in recent years on Graphical Models and Bayesian Networks, here is a handy tutorial.
Wikipedia is always a great place to start one's learning. In fact, I suspect that a large number of contributors and volunteers are graduate students in the field of statistical machine learning.
Anyway, wikipedia on Graphical Models recommends: "A good reference for learning the basics of graphical models is written by Neapolitan, Learning Bayesian networks (2004)." Google scholar found a copy (pdf).
This turns out to be 703 pages, and the first 60 pages of basic introduction is wonderfully simple to understand, full of illustrations of all the fundamental concepts using the same scenarios.
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