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Probabilistic Networks and Expert Systems

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Cover of 'Probabilistic Networks and Expert Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Logic, Uncertainty, and Probability
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    Chapter 3 Building and Using Probabilistic Networks
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    Chapter 4 Graph Theory
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    Chapter 5 Markov Properties on Graphs
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    Chapter 6 Discrete Networks
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    Chapter 7 Gaussian and Mixed Discrete-Gaussian Networks
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    Chapter 8 Discrete Multistage Decision Networks
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    Chapter 9 Learning About Probabilities
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    Chapter 10 Checking Models Against Data
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    Chapter 11 Structural Learning
Attention for Chapter 4: Graph Theory
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