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Probabilistic Reasoning in Intelligent Systems
book

Probabilistic Reasoning in Intelligent Systems

by Judea Pearl
June 2014
Intermediate to advanced
552 pages
17h 3m
English
Morgan Kaufmann
Content preview from Probabilistic Reasoning in Intelligent Systems

Subject Index

A

Abduction, 7, 19, 381
Active paths, 118
Adams’
axioms, 516
logic, 25, 480, 485, 516
Answering queries, 223, 279
Antecedents, 440
Anticipatory nodes, 170, 181, 256
Arc reversal, 310
Assumption-based reasoning, 17, 205, 261, 472
see Conditioning
Assumptions, behind ruler, 440, 450, 451
ATMS, 452
numerical uncertainties in, 455
Attention, controlling, 324
Axioms
of “almost all”, 480, 516
of conditional independence, 84
of d-separation, 128
of graph separation, 94
of probability, 16, 27, 30

B

Basic probability assignment, 420
Bayes conditionalization, 17, 64, 68, 71
Bayes’ Rule, 17, 34, 55
history of, 70
Bayesian belief networks, 125
Bayesian networks, 13, 50, 116–117, 119, 125
advantages of, 116
construction, 119, 122
expressiveness, ...
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Publisher Resources

ISBN: 9780080514895