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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.
Published by: Springer
Publication Date: 2008-10-02
Format: Hardcover
ISBN-13: 9783540850656
DOI: 10.1007/978-3-540-85066-3
Dimensions: 235cm x155cm
Pages: 322