Learning Bayesian Networks |
|
| Author:
| Neapolitan, Richard E. |
| Series title: | Prentice-Hall Series in Artificial Intelligence |
| ISBN: | 978-0-13-012534-7 |
| Publication Date: | Mar 2003 |
| Publisher: | Prentice Hall PTR
|
| Book Format: | Paperback |
| List Price: | AUD $257.95 |
Book Description:
|
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.
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.