Probabilistic Reasoning in Expert Systems

Released on by Richard E. Neapolitan
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  • Probabilistic Reasoning in Expert Systems Book Detail

  • Author : Richard E. Neapolitan
  • Release Date : 2012-06-01
  • Publisher : CreateSpace
  • Genre : Computers
  • Pages : 448
  • ISBN 13 : 9781477452547
  • File Size : 98,98 MB
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Probabilistic Reasoning in Expert Systems by Richard E. Neapolitan PDF Summary

Book Description: This text is a reprint of the seminal 1989 book Probabilistic Reasoning in Expert systems: Theory and Algorithms, which helped serve to create the field we now call Bayesian networks. It introduces the properties of Bayesian networks (called causal networks in the text), discusses algorithms for doing inference in Bayesian networks, covers abductive inference, and provides an introduction to decision analysis. Furthermore, it compares rule-base experts systems to ones based on Bayesian networks, and it introduces the frequentist and Bayesian approaches to probability. Finally, it provides a critique of the maximum entropy formalism. Probabilistic Reasoning in Expert Systems was written from the perspective of a mathematician with the emphasis being on the development of theorems and algorithms. Every effort was made to make the material accessible. There are ample examples throughout the text. This text is important reading for anyone interested in both the fundamentals of Bayesian networks and in the history of how they came to be. It also provides an insightful comparison of the two most prominent approaches to probability.

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Probabilistic Reasoning in Expert Systems

Probabilistic Reasoning in Expert Systems

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This text is a reprint of the seminal 1989 book Probabilistic Reasoning in Expert systems: Theory and Algorithms, which helped serve to create the field we now

Probabilistic Reasoning in Expert Systems

Probabilistic Reasoning in Expert Systems

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Addresses the use probability theory as a tool for designing with and implementing uncertainity reasoning. Provides many concrete algorithms, explores technique

Probabilistic Networks and Expert Systems

Probabilistic Networks and Expert Systems

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Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of ca