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Statistical Relational Artificial In...

Raedt, Luc de, (1964- )

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Statistical Relational Artificial Intelligence = logic, probability, and computation /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical Relational Artificial Intelligence/ Luc de Raedt, Kristian Kersting, Sriraam Natarajan, David Poole.
其他題名:	logic, probability, and computation /
作者:	Raedt, Luc de,
其他作者:	Kersting, Kristian,
出版者:	[San Rafael, CA] :Morgan & Claypool Publishers, : 2016.,
面頁冊數:	1 online resource (191 p.)
內容註:	Statistical relational artificial intelligence: logic, probability, and computation -- Abstract -- Contents -- Preface -- 1 Motivation -- Part I Representations -- 2 Statistical and Relational AI Representations -- 3 Relational Probabilistic Representations -- 4 Representational Issues -- Part II Inference -- 5 Inference in Propositional Models -- 6 Inference in Relational Probabilistic Models -- Part III Learning -- 7 Learning Probabilistic and Logical Models -- 8 Learning Probabilistic Relational Models -- Part IV Beyond Probabilities -- 9 Beyond Basic Probabilistic Inference and Learning -- 10 Conclusions -- Bibliography -- Authors' Biographies -- Index.
標題:	Artificial intelligence - Computer simulation. -
電子資源:	http://portal.igpublish.com/iglibrary/search/MCPB0000824.html
ISBN:	1627058427

Statistical Relational Artificial Intelligence = logic, probability, and computation /
Raedt, Luc de,1964-

Statistical Relational Artificial Intelligencelogic, probability, and computation /[electronic resource] :Luc de Raedt, Kristian Kersting, Sriraam Natarajan, David Poole. - 1st ed. - [San Rafael, CA] :Morgan & Claypool Publishers,2016. - 1 online resource (191 p.) - Synthesis lectures on artificial intelligence and machine learning ;32. - Synthesis lectures on artificial intelligence and machine learning ;32..

Includes bibliographical references and index.

Statistical relational artificial intelligence: logic, probability, and computation -- Abstract -- Contents -- Preface -- 1 Motivation -- Part I Representations -- 2 Statistical and Relational AI Representations -- 3 Relational Probabilistic Representations -- 4 Representational Issues -- Part II Inference -- 5 Inference in Propositional Models -- 6 Inference in Relational Probabilistic Models -- Part III Learning -- 7 Learning Probabilistic and Logical Models -- 8 Learning Probabilistic Relational Models -- Part IV Beyond Probabilities -- 9 Beyond Basic Probabilistic Inference and Learning -- 10 Conclusions -- Bibliography -- Authors' Biographies -- Index.

ISBN: 1627058427

Source: 776780660000824Subjects--Topical Terms:

626550
Artificial intelligence
--Computer simulation.

LC Class. No.: Q335 / .R34 2016

Dewey Class. No.: 006.301/5

Statistical Relational Artificial Intelligence = logic, probability, and computation /
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