An Introduction To Lifted Probabilistic Inference

August 17, 2021|
An Introduction To Lifted Probabilistic Inference by Guy Van Den Broeck
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Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models.

Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field.

After providing necessary background on probabilistic graphical models, relational probabilistic models, and learning inside these models, the book turns to lifted inference, first covering exact inference and then approximate inference. In addition, the book considers the theory of liftability and acting in relational domains, which allows the connection of learning and reasoning in relational domains.
Guy Van den Broeck is Associate Professor of Computer Science at the University of California, Los Angeles. Kristian Kersting is Professor in the Computer Science Department and the Centre for Cognitive Science at Technische Universität Darmstadt. Sriraam Natarajan is Professor and the Director of the Center for Machine Learning in th...
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Title:An Introduction To Lifted Probabilistic Inference
Format:Paperback
Product dimensions:454 pages, 9 X 7 X 0.68 in
Shipping dimensions:454 pages, 9 X 7 X 0.68 in
Published:August 17, 2021
Publisher:MIT Press
Language:English
Appropriate for ages:All ages
ISBN - 13:9780262542593

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