June 2014
Intermediate to advanced
552 pages
17h 3m
English
Content preview from Probabilistic Reasoning in Intelligent Systems
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Table of Contents
Chapter 1: UNCERTAINTY IN AI SYSTEMS: AN OVERVIEW
1.2 EXTENSIONAL SYSTEMS: MERITS, DEFICIENCIES, AND REMEDIES
1.3 INTENSIONAL SYSTEMS AND NETWORK REPRESENTATIONS
1.4 THE CASE FOR PROBABILITIES
1.5 QUALITATIVE REASONING WITH PROBABILITIES
2.3 EPISTEMOLOGICAL ISSUES OF BELIEF UPDATING
2.4 BIBLIOGRAPHICAL AND HISTORICAL REMARKS
Chapter 3: MARKOV AND BAYESIAN NETWORKS: Two Graphical Representations of Probabilistic Knowledge
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