Modeling and Reasoning with Bayesian Networks

Authors:
Professor Adnan Darwiche
Affiliations:
-
Venue:
Modeling and Reasoning with Bayesian Networks
Year:
2009

Citing 0
Cited 63

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Abstract

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.