Record Display for the EPA National Library Catalog


Main Title Learning Bayesian networks /
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 ; Inferãencia bayesiana (inferãencia estatâistica)
Library Call Number Additional Info Location Last
EKCM  QA279.5.N436 2004 CEMM/GEMMD Library/Gulf Breeze,FL 03/28/2011
ELDM  QA279.5.N436 2004 CCTE/GLTED Library/Duluth,MN 04/22/2005
Collation xv, 674 pages : illustrations ; 24 cm
Includes bibliographical references (pages 647-666) and index.
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