Innovations in Bayesian Networks Theory and Applications

Innovations in Bayesian Networks Theory and Applications / edited by Dawn E. Holmes.

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 t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Holmes, Dawn E. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Studies in Computational Intelligence, 156
Springer eBook Collection.
Subjects:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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