Overview
- Presents the innovative paradigms related to the theory and practical applications of Bayesian Networks
Part of the book series: Studies in Computational Intelligence (SCI, volume 156)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Innovations in Bayesian Networks
Book Subtitle: Theory and Applications
Editors: Dawn E. Holmes, Lakhmi C. Jain
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-85066-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-85065-6Published: 02 October 2008
Softcover ISBN: 978-3-642-09875-8Published: 30 November 2010
eBook ISBN: 978-3-540-85066-3Published: 10 September 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 322
Number of Illustrations: 92 b/w illustrations
Topics: Mathematical and Computational Engineering, Artificial Intelligence
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