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An Introduction to Lifted Probabilistic Inference

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.
EAN: 9780262542593
Sprache: Englisch
Seitenzahl: 454
Produktart: kartoniert, broschiert
Herausgeber: Van den Broeck, Guy Kersting, Kristian Natarajan, Sriraam Poole, David
Verlag: MIT Press The MIT Press
Veröffentlichungsdatum: 03.09.2021
Schlagworte: Computer Numbers Data Science Predictive Analytics Behavioral Economics
Größe: 26 × 179 × 230
Gewicht: 862 g