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-13: | 9783540850656 |
| ISBN-10: | 3540850651 |
| Publisher: | Springer Science & Business Media |
| Publication date: | 2008-10-02 |
| Edition description: | 2008 |
| Pages: | 322 |
| Product dimensions: | Height: 9.21258 Inches, Length: 6.14172 Inches, Weight: 1.46386941968 Pounds, Width: 0.7499985 Inches |
| Author: | Dawn E. Holmes |
| Language: | en |
| Binding: | Hardcover |
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