{"product_id":"an-introduction-to-lifted-probabilistic-inference-isbn-9780262542593","title":"An Introduction to Lifted Probabilistic Inference","description":"\u003cb\u003eRecent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eStatistical 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. \u003cbr\u003e\u003cbr\u003eAfter 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.List of Figures\u003cbr\u003eContributors\u003cbr\u003ePreface\u003cbr\u003eI OVERVIEW\u003cbr\u003e1 Statistical Relational AI: Representation, Inference and Learning\u003cbr\u003e2 Modeling and Reasoning with Statistical Relational Representation\u003cbr\u003e3 Statistical Relational Learning\u003cbr\u003eII EXACT INFERENCE\u003cbr\u003e4 Lifted Variable Elimination\u003cbr\u003e5 Search-Based Exact Lifted Inference\u003cbr\u003e6 Lifted Aggregation and Skolemization for Directed Models\u003cbr\u003e7 First-Order Knowledge Compilation\u003cbr\u003e8 Domain Liftability\u003cbr\u003e9 Tractability through Exchangeability: The Statistics of Lifting\u003cbr\u003eIII APPROXIMATE INFERENCE\u003cbr\u003e10 Lifted Markov Chain Monte Carlo\u003cbr\u003e11 Lifted Message Passing for Probabilistic and Combinatorial Problems\u003cbr\u003e12 Lifted Generalized Belief Propagation: Relax, Compensate and Recover\u003cbr\u003e13 Liftability Theory of Variational Inference\u003cbr\u003e14 Lifted Inference for Hybrid Relational Models\u003cbr\u003eIV BEYOND PROBABILISTIC INFERENCE\u003cbr\u003e15 Color Refinement and Its Applications\u003cbr\u003e16 Stochastic Planning and Lifted Inference\u003cbr\u003eBibliography\u003cbr\u003eIndex“Lifted probabilistic inference is one of the most important directions in contemporary AI, and this book, put together by many of the leading researchers on the topic, provides an excellent overview and a wealth of technical details. This exciting new book will be immensely useful to a broad range of AI researchers and students.”\u003cbr\u003e\u003cb\u003e—Holger H. Hoos, AAAI and EurAI Fellow, Universiteit Leiden and University of British Columbia\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e“What a treat to have many of the leading experts in the field come together to explain the state of the art. Sure to become a standard reference.”\u003cbr\u003e\u003cb\u003e—Toby Walsh, Professor of Artificial Intelligence, University of New South Wales, and Data61\u003c\/b\u003eGuy 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 the Department of Computer Science at University of Texas at Dallas. David Poole is Professor in the Department of Computer Science at the University of British Columbia.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46303741182181,"sku":"NP9780262542593","price":70.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262542593.jpg?v=1767721517","url":"https:\/\/k12savings.com\/products\/an-introduction-to-lifted-probabilistic-inference-isbn-9780262542593","provider":"K12savings","version":"1.0","type":"link"}