Innovations in Bayesian Networks: Theory and Applications
Dawn E. Holmes
2008年9月 · Studies in Computational Intelligence第 156 冊 · Springer
電子書
322
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關於這本電子書
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.