Modeling and reasoning with Bayesian networks

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Last edited by MARC Bot
December 11, 2009 | History

Modeling and reasoning with Bayesian networks

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Publish Date
Language
English

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Previews available in: English

Edition Availability
Cover of: Modeling and reasoning with Bayesian networks
Modeling and reasoning with Bayesian networks
2009, Cambridge University Press
in English

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Book Details


Table of Contents

Introduction
Propositional logic
Probability calculus
Bayesian networks
Building Bayesian networks
Inference by variable elimination
Inference by factor elimination
Inference by conditioning
Models for graph decomposition
Most likely instantiations
The complexity of probabilistic inference
Compiling Bayesian networks
Inference with local structure
Approximate inference by belief propagation
Approximate inference by stochastic sampling
Sensitivity analysis
Learning : the maximum likelihood approach
Learning : the Bayesian approach.

Edition Notes

Published in
Cambridge, New York

Classifications

Dewey Decimal Class
519.5/42
Library of Congress
QA279.5 .D37 2009

The Physical Object

Pagination
p. cm.

ID Numbers

Open Library
OL22658659M
Internet Archive
modelingreasonin00darw
ISBN 13
9780521884389
LCCN
2008044605
OCLC/WorldCat
263146943
Library Thing
8797288

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December 13, 2022 Edited by MARC Bot import existing book
August 2, 2020 Edited by ImportBot import existing book
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December 11, 2009 Created by WorkBot add works page