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Guy Van den Broeck Kristin K Introduction to Lifted Probabilistic In (Paperback)

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
Introduction to Lifted Probabilistic Inference
Publication Name
Introduction to Lifted Probabilistic Inference
Title
Introduction to Lifted Probabilistic Inference
Author
Kristian Kersting
Format
Trade Paperback
EAN
9780262542593
ISBN
9780262542593
Publisher
MIT Press
Genre
Computing & Internet
Release Date
17/08/2021
Release Year
2021
Language
English
Country/Region of Manufacture
US
Item Height
1.1in
Item Length
9.1in
Series
Neural Information Processing Ser.
Publication Year
2021
Type
Textbook
Item Width
7.1in
Item Weight
29.8 Oz
Number of Pages
454 Pages

Over dit product

Product Information

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.

Product Identifiers

Publisher
MIT Press
ISBN-10
0262542595
ISBN-13
9780262542593
eBay Product ID (ePID)
26050036529

Product Key Features

Author
Kristian Kersting
Publication Name
Introduction to Lifted Probabilistic Inference
Format
Trade Paperback
Language
English
Series
Neural Information Processing Ser.
Publication Year
2021
Type
Textbook
Number of Pages
454 Pages

Dimensions

Item Length
9.1in
Item Height
1.1in
Item Width
7.1in
Item Weight
29.8 Oz

Additional Product Features

Lc Classification Number
Qa273.I563 2021
Table of Content
List of Figures Contributors Preface I OVERVIEW 1 Statistical Relational AI: Representation, Inference and Learning 2 Modeling and Reasoning with Statistical Relational Representation 3 Statistical Relational Learning II EXACT INFERENCE 4 Lifted Variable Elimination 5 Search-Based Exact Lifted Inference 6 Lifted Aggregation and Skolemization for Directed Models 7 First-Order Knowledge Compilation 8 Domain Liftability 9 Tractability through Exchangeability: The Statistics of Lifting III APPROXIMATE INFERENCE 10 Lifted Markov Chain Monte Carlo 11 Lifted Message Passing for Probabilistic and Combinatorial Problems 12 Lifted Generalized Belief Propagation: Relax, Compensate and Recover 13 Liftability Theory of Variational Inference 14 Lifted Inference for Hybrid Relational Models IV BEYOND PROBABILISTIC INFERENCE 15 Color Refinement and Its Applications 16 Stochastic Planning and Lifted Inference Bibliography Index
Topic
Intelligence (Ai) & Semantics, General, Probability & Statistics / Bayesian Analysis
Lccn
2020-040684
Dewey Decimal
519.2
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics

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