Innovations in Bayesian Networks - Theory and Applications (Paperback, Softcover reprint of hardcover 1st ed. 2008)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 156
Release date:	November 2010
First published:	2008
Editors:	Dawn E Holmes
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	322
Edition:	Softcover reprint of hardcover 1st ed. 2008
ISBN-13:	978-3-642-09875-8
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-09875-4
Barcode:	9783642098758

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