Learning Bayesian Networks
| Author | : Richard E. Neapolitan |
| Publisher | : Prentice Hall |
| Total Pages | : 704 |
| Release | : 2004 |
| ISBN-10 | : STANFORD:36105111872318 |
| ISBN-13 | : |
| Rating | : 4/5 (18 Downloads) |
Book Synopsis Learning Bayesian Networks by : Richard E. Neapolitan
Download or read book Learning Bayesian Networks written by Richard E. Neapolitan and published by Prentice Hall. This book was released on 2004 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
