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Bayesian Artificial Intelligence, Second Edition by Kevin B. Korb, Ann E. Nicholson is a nonfiction available to read on EtoBox.
What is Bayesian Artificial Intelligence, Second Edition about?
Updated and expanded, **Bayesian Artificial Intelligence, Second Edition** provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology. **New to the Second Edition** * New chapter on Bayesian network classifiers * New section on object-oriented Bayesian networks * New section that addresses foundational problems with causal discovery and Markov blanket discovery * New section that covers methods of evaluating causal discovery programs * Discussions of many common modeling errors * New applications and case studies * More coverage on the uses of causal interventions to understand and reason with causal Bayesian networks Illustrated with real case studies, the second edition of this bestseller continues to cover the groundwork of Bayesian networks. It presents the elements of Bayesian network technology, automated caus
Who reads Bayesian Artificial Intelligence, Second Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kevin B. Korb, Ann E. Nicholson
- Publisher
- CRC Press LLC
- Published
- 2010
- Language
- EN
- ISBN
- 9781032477657
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Mathematics
Other editions & translations
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