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Up to date and expanded, Bayesian Artificial Intelligence, Second Edition offers a sensible and accessible introduction to the primary ideas, basis, and purposes of Bayesian networks. It focuses on each the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors talk about using Bayesian networks for causal modeling. Additionally they draw on their very own utilized analysis as an example numerous purposes of the technology.
New to the Second Edition
New chapter on Bayesian network classifiers
New part on object-oriented Bayesian networks
New part that addresses foundational issues with causal discovery and Markov blanket discovery
New part that covers strategies of evaluating causal discovery packages
Discussions of many widespread modeling errors
New purposes and case research
Extra protection on the makes use of of causal interventions to know and purpose with causal Bayesian networks
Illustrated with actual case research, the second version of this bestseller continues to cowl the groundwork of Bayesian networks. It presents the weather of Bayesian network technology, automated causal discovery, and studying chances from data and exhibits easy methods to make use of these applied sciences to develop probabilistic skilled methods.
Net Useful resource
The book’s web site at www.csse.monash.edu.au/bai/book/book.html provides quite a lot of supplemental supplies, together with instance Bayesian networks and data units. Instructors can e-mail the authors for pattern options to most of the issues within the textual content.
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