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Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks
by Philip Dawid and Steffen L. Lauritzen and David J. Spiegelhalter

Overview -

Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms.  Read more...


 
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More About Probabilistic Networks and Expert Systems by Philip Dawid; Steffen L. Lauritzen; David J. Spiegelhalter
 
 
 
Overview

Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.

 
Details
  • ISBN-13: 9780387718231
  • ISBN-10: 0387718230
  • Publisher: Springer
  • Publish Date: July 2007
  • Page Count: 323

Series: Information Science and Statistics

Related Categories

Books > Mathematics > Probability & Statistics - General
Books > Computers & Internet > Intelligence (AI) & Semantics
Books > Computers & Internet > Expert Systems

 
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