Learning Bayesian Networks
Richard E. Neapolitan
In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.
年:
2003
出版社:
Prentice Hall
语言:
english
页:
704
ISBN 10:
0130125342
ISBN 13:
9780130125347
文件:
PDF, 5.30 MB
IPFS:
,
english, 2003