Introduction to Lifted Probabilistic Inference

Introduction to Lifted Probabilistic Inference
Guy Van den Broeck, Kristin Kersting
RRP:
NZ$ 125.00
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NZ$ 100.00
Paperback
h229 x 178mm - 454pg
17 Aug 2021 US
International import eta 7-19 days
9780262542593
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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.
Status: Indent title, imported to order
ISBN-13: 9780262542593
Published: 17 Aug 2021
Published In: United States
Imprint: MIT Press
Publisher: MIT Press
Format: Paperback
Height: 229mm
Width: 178mm
Pages: 454

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