Modeling and Reasoning with Bayesian Networks

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This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.
Publisher ‏ : ‎ Cambridge University Press
Publication date ‏ : ‎ August 7, 2014
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 562 pages
ISBN-10 ‏ : ‎ 1107678420
ISBN-13 ‏ : ‎ 978-1107678422
Item Weight ‏ : ‎ 2.2 pounds
Dimensions ‏ : ‎ 7.01 x 1.27 x 10 inches
Best Sellers Rank: #3,141,294 in Books (See Top 100 in Books) #1,571 in Statistics (Books) #2,664 in Probability & Statistics (Books) #5,727 in AI & Machine Learning
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