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Bayesian Networks and Decision Graphs
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief ...more
Hardcover, 447 pages
Published June 6th 2007 by Springer
(first published May 31st 2002)
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Not bad. Writing style can be somewhat terse. Sometimes he meanders off into to many examples without really explaining things first. The first couple chapters however are some of the better ones I've read as far as an introduction to Bayesian thinking and models.