Bayesian Network Technologies: Applications and Graphical...

Bayesian Network Technologies: Applications and Graphical Models

Ankush Mittal, Ankush Mittal, Ashraf Kassim
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Bayesian networks are now being used in a variety of artificial intelligence applications. These networks are high-level representations of probability distributions over a set of variables that are used for building a model of the problem domain. Bayesian Network Technologies: Applications and Graphical Models provides an excellent and well-balanced collection of areas where Bayesian networks have been successfully applied. This book describes the underlying concepts of Bayesian Networks in an interesting manner with the help of diverse applications, and theories that prove Bayesian networks valid. Bayesian Network Technologies: Applications and Graphical Models provides specific examples of how Bayesian networks are powerful machine learning tools critical in solving real-life problems.
카테고리:
년:
2007
판:
1
출판사:
IGI Publishing
언어:
english
페이지:
369
ISBN 10:
159904143X
ISBN 13:
9781599041438
파일:
PDF, 8.16 MB
IPFS:
CID , CID Blake2b
english, 2007
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