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Reasoning with probabilistic and deterministic graphical models : exact algorithms

Author: Rina Dechter
Publisher: [San Rafael, California] : Morgan & Claypool Publishers, [2013] ©2013
Series: Synthesis lectures on artificial intelligence and machine learning, #23.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Dechter, Rina, 1950-
Reasoning with probabilistic and deterministic graphical models.
[San Rafael, Calif.] : Morgan & Claypool Publishers, [2013]
(OCoLC)867613530
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rina Dechter
ISBN: 9781627051989 1627051988
OCLC Number: 867318552
Description: 1 online resource (xiv, 177 pages) : illustrations.
Contents: What are graphical models --
Inference : bucket elimination for deterministic networks --
Inference : bucket elimination for probabilistic networks --
Tree-clustering schemes --
AND/OR search spaces and algorithms for graphical models --
Combining search and inference : trading space for time.
Series Title: Synthesis lectures on artificial intelligence and machine learning, #23.
Responsibility: Rina Dechter.

Abstract:

Graphical models have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. This book provides comprehensive coverage  Read more...

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