Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained.
Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.
| ISBN: | 9783642098758 |
| Publication date: | 30th November 2010 |
| Author: | Dawn E Holmes |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 322 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Maths for engineers Artificial intelligence |