Statistical Relational Artificial Intelligence

Language: English

Published by Springer International Publishing Mrz 2016, 2016

3031000226 / 9783031000225

Series: Book 7 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks. 192 pp. Englisch.…

Seller Inventory # 9783031000225

Title
Statistical Relational Artificial Intelligence
Author
Luc De Raedt
Publisher
Springer International Publishing Mrz 2016
Publication year
2016
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031000226
ISBN 13
9783031000225
Item weight
565 grams
Dimensions
241x196x17 mm
Series
Book 7 of 14: Synthesis Lectures on Artificial Intelligence and Machine Learning

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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