Record Display for the EPA National Library Catalog
RECORD NUMBER: 39 OF 54| Main Title | Learning Bayesian networks / | ||||||||||||||||
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| Author | Neapolitan, Richard E., | ||||||||||||||||
| Publisher | Pearson Prentice Hall, | ||||||||||||||||
| Year Published | 2004 | ||||||||||||||||
| OCLC Number | 52534097 | ||||||||||||||||
| ISBN | 0130125342; 9780130125347 | ||||||||||||||||
| Subjects | Bayesian statistical decision theory ; Machine learning ; Neural networks (Computer science) ; Kunstmatige intelligentie ; Methode van Bayes ; Infer encia bayesiana (infer encia estat istica) ; Aprendizado computacional ; Redes neurais ; Inferencia bayesiana (inferencia estatistica) | ||||||||||||||||
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| Collation | xv, 674 pages : illustrations ; 24 cm | ||||||||||||||||
| Notes | Includes bibliographical references (pages 647-666) and index. |
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| Contents Notes | Basics. Introduction to Bayesian networks ; More DAG/Probability relationships -- Interface. Inference : discrete variables ; More inference algorithms ; Influence diagrams -- Learning. Parameter learning : binary variables ; More parameter learning ; Bayesian structure learning ; Approximate Bayesian structure learning ; Constraint-based learning ; More structure learning -- Applications. "Learning Bayesian Networks offers the first accessible and unified text on the study and application of Bayesian networks. This book serves as a key textbook or reference for anyone with an interest in probabilistic modeling in the fields of computer science, computer engineering, and electrical engineering. This text is also a valuable supplemental resource for courses on expert systems, machine learning, and artificial intelligence."--Jacket |