03438nam a2200301 a 4500 vtls000055493 KUKTEM 20251125093021.0 110912t2010 flua f 001 0 eng d 9781439815915 (hardback) 201207091552 Fida 201206291620 asmadi 201206081059 asmadi 201205141141 asmadi 201109121230 safura UMP QA279.5 .K67 2010 Korb, Kevin B. Bayesian artificial intelligence / Kevin B. Korb, Ann E. Nicholson 2nd ed. Boca Raton, FL : CRC Press, c2010 xxvii, 463 p. : ill. ; 24 cm. Chapman & hall/crc computer science & data analysis ; 16 Includes bibliographical references and index "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 causal discovery, and learning probabilities from data and shows how to employ these technologies to develop probabilistic expert systems. Web Resource The books website at www.csse.monash.edu.au/bai/book/book.html offers a variety of supplemental materials, including example Bayesian networks and data sets. Instructors can email the authors for sample solutions to many of the problems in the text"-- Provided by publisher "The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new section that addresses foundational problems with causal discovery and Markov blanket discovery and a new section that covers methods of evaluating causal discovery programs. The book also offers more coverage on the uses of causal interventions to understand and reason with causal Bayesian networks. Supplemental materials are available on the book’s website"-- Provided by publisher Bayesian statistical decision theory Data processing Machine learning Neural networks (Computer science) 0 0 0 0 10000 10000 2019-09-04 278.15 1 1 QA279.5 .K67 2010 0000064673 2022-06-13 00:00:00 2022-04-13 1 278.15 2019-09-04 OPEN VIRTUA40 60560 60566 VTLSSORT0080*0200*0400*0900*1000*2450*2500*2600*3000*4900*5040*5200*5201*6500*6501*6502*9992 1