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Probabilistic Networks and Expert SystemsAugust 1999
Publisher:
  • Springer-Verlag
  • Berlin, Heidelberg
ISBN:978-0-387-98767-5
Published:01 August 1999
Pages:
333
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Abstract

From the Publisher:

Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors over a number of years, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms, emphasizing those cases in which exact answers are obtainable. The book will be of interest to researchers and graduate students in artificial intelligence who desire an understanding of the mathematical and statistical basis of probabilistic expert systems, and to students and research workers in statistics wanting an introduction to this fascinating and rapidly developing field. The careful attention to detail will also make this work an important reference source for all those involved in the theory and applications of probabilistic expert systems.

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Contributors
  • City University of London, Cass Business School
  • University of Oxford
  • MRC Biostatistics Unit
  • University of Waterloo

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