Introduction to Statistical Relational Learning

Introduction to Statistical Relational Learning
Author: Lise Getoor
Publisher: MIT Press
Total Pages: 602
Release: 2007
Genre: Computer algorithms
ISBN: 0262072882


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In 'Introduction to Statistical Relational Learning', leading researchers in this emerging area of machine learning describe current formalisms, models, and algorithms that enable effective and robust reasoning about richly structured systems and data.


Introduction to Statistical Relational Learning
Language: en
Pages: 602
Authors: Lise Getoor
Categories: Computers
Type: BOOK - Published: 2019-09-22 - Publisher: MIT Press

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Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introd
Introduction to Statistical Relational Learning
Language: en
Pages: 602
Authors: Lise Getoor
Categories: Computer algorithms
Type: BOOK - Published: 2007 - Publisher: MIT Press

GET EBOOK

In 'Introduction to Statistical Relational Learning', leading researchers in this emerging area of machine learning describe current formalisms, models, and alg
Statistical Relational Artificial Intelligence
Language: en
Pages: 191
Authors: Luc De Raedt
Categories: Computers
Type: BOOK - Published: 2016-03-24 - Publisher: Morgan & Claypool Publishers

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An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and need
Logical and Relational Learning
Language: en
Pages: 395
Authors: Luc De Raedt
Categories: Computers
Type: BOOK - Published: 2008-09-27 - Publisher: Springer Science & Business Media

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This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily a
An Introduction to Lifted Probabilistic Inference
Language: en
Pages: 455
Authors: Guy Van den Broeck
Categories: Computers
Type: BOOK - Published: 2021-08-17 - Publisher: MIT Press

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Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (StaRAI) st