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Probabilistic Reasoning in Intelligent Systems
edited_book
Publication date
(Print):
1988
Publisher:
Elsevier
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Socioecological systems
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Book
ISBN (Print):
9780080514895
Publication date (Print):
1988
DOI:
10.1016/C2009-0-27609-4
SO-VID:
0d81081f-dec1-4a20-9b0f-fd275a31fce9
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Book chapters
pp. i
THE MORGAN KAUFMANN SERIES IN REPRESENTATION AND REASONING
pp. ii
Front Matter
pp. iv
Copyright
pp. ix
Preface to the Fourth Printing
pp. v
Dedication
pp. vii
Preface
pp. 1
UNCERTAINTY IN AI SYSTEMS
pp. 29
BAYESIAN INFERENCE
pp. 77
MARKOV AND BAYESIAN NETWORKS
pp. 143
BELIEF UPDATING BY NETWORK PROPAGATION
pp. 239
DISTRIBUTED REVISION OF COMPOSITE BELIEFS
pp. 289
DECISION AND CONTROL
pp. 333
TAXONOMIC HIERARCHIES, CONTINUOUS VARIABLES, AND UNCERTAIN PROBABILITIES
pp. 381
LEARNING STRUCTURE FROM DATA
pp. 415
NON-BAYESIAN FORMALISMS FOR MANAGING UNCERTAINTY
pp. 467
LOGIC AND PROBABILITY
pp. 521
Bibliography
pp. 539
Author Index
pp. 545
Subject Index
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