Bayesian Artificial Intelligence (2nd Edition) (Repost)
Bayesian Artificial Intelligence (2nd Edition) By Kevin B. Korb, Ann E. Nicholson
2011 | 492 Pages | ISBN: 1439815917 | PDF | 4 MB
2011 | 492 Pages | ISBN: 1439815917 | PDF | 4 MB
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. 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 causal discovery, and learning probabilities from data and shows how to employ these technologies to develop probabilistic expert systems.