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.
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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.
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5.0 out of 5 stars
Very rewarding,
This review is from: Innovations in Bayesian Networks: Theory and Applications (Studies in Computational Intelligence) (Paperback)
An excellent introduction to the world of Bayesian networks for those who are reasonably technically proficient. Some of the top people in the field contribute, and although it's unlikely that all chapters will be of use, given that both theory and applications are strongly covered there's likely to be sufficient to make this an excellent book to help you in developing your knowledge of the subject area.
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