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Expert systems and probabilistic network models

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Cover of 'Expert systems and probabilistic network models'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Rule-Based Expert Systems
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    Chapter 3 Probabilistic Expert Systems
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    Chapter 4 Some Concepts of Graphs
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    Chapter 5 Building Probabilistic Models
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    Chapter 6 Graphically Specified Models
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    Chapter 7 Extending Graphically Specified Models
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    Chapter 8 Exact Propagation in Probabilistic Network Models
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    Chapter 9 Approximate Propagation Methods
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    Chapter 10 Symbolic Propagation of Evidence
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    Chapter 11 Learning Bayesian Networks
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    Chapter 12 Case Studies
Attention for Chapter 8: Exact Propagation in Probabilistic Network Models
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