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Includes the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. Presents specific topics such as approximate propagation, abductive inferences, decision graphs and applications of influence -- Back cover.
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Book Details
Table of Contents
Foundations
Propagation
Influence diagrams
Learning
Applications.
Edition Notes
Includes bibliographical references.
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- Created June 28, 2019
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March 1, 2022 | Edited by ImportBot | import existing book |
February 26, 2022 | Edited by ImportBot | import existing book |
June 28, 2019 | Created by MARC Bot | Imported from Internet Archive item record |