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Introduction to statistical relational learning [electronic resource] / edited by Lise Getoor, Ben Taskar.

Contributor(s): Getoor, Lise | Taskar, Ben.
Material type: TextTextSeries: Adaptive computation and machine learning: Publisher: Cambridge, Mass. : MIT Press, c2007Description: 1 online resource (ix, 586 p.) : ill.ISBN: 9780262256230 (electronic bk.); 0262256231 (electronic bk.).Subject(s): Relational databases | Machine learning -- Statistical methods | Computer algorithms | COMPUTERS -- Enterprise Applications -- Business Intelligence Tools | COMPUTERS -- Intelligence (AI) & SemanticsGenre/Form: Electronic books.Additional physical formats: Print version:: Introduction to statistical relational learning.DDC classification: 006.3/1 Online resources: EBSCOhost
Contents:
Introduction / Lise Getoor, Ben Taskar -- Graphical Models in a Nutshell / Daphne Koller ... [et al.] -- Inductive Logic Programming in a Nutshell / Saso Dzeroski -- An Introduction to Conditional Random Fields for Relational Learning / Charles Sutton, Andrew McCallum -- Probabilistic Relational Models / Lise Getoor ... [et al.] -- Probabilistic Entity-Relationship Models, PRMs and Plate Models / David Heckerman, Chris Meek, Daphne Koller -- Relational Markov Networks / Ben Taskar ... [et al.] -- Logic-based Formalisms for Statistical Relational Learning / James Cussens -- Bayesian Logic Programming : Theory and Tool / Kristian Kersting, Luc De Raedt -- Stochastic Logic Programs : A Tutorial / Stephen Muggleton, Niels Pahlavi -- Markov Logic : A Unifying Framework for Statistical Relational Learning / Pedro Domingos, Matthew Richardson -- BLOG : Probabilistic Models with Unknown Objects / Brian Milch ... [et al.] -- The Design and Implementation of IBAL : A General-Purpose Probabilistic Language / Avi Pfeffer -- Relational Dependency Networks / Jennifer Neville, David Jensen -- Feature Generation and Selection in Multi-Relational Statistical Learning / Alexandrin Popescul, Lyle H. Ungar -- Reinforcement Learning in Relational Domains : A Policy-Language Approach / Alan Fern, SungWook Yoon, Robert Givan -- Statistical Relational Learning for Natural Language Information Extraction / Razvan C. Bunescu, Raymond J. Mooney -- Global Inference for Entity and Relation Identification via a Linear Programming Formulation / Dan Roth, Wen-tau Yih -- Learning a New View of a Database : With an Application in Mammography / Jesse Davis ... [et al.].
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"Index" : an online index is available on the book webpage at http://www.cs.umd.edu/srl-book/index.htm.

Includes bibliographical references.

Introduction / Lise Getoor, Ben Taskar -- Graphical Models in a Nutshell / Daphne Koller ... [et al.] -- Inductive Logic Programming in a Nutshell / Saso Dzeroski -- An Introduction to Conditional Random Fields for Relational Learning / Charles Sutton, Andrew McCallum -- Probabilistic Relational Models / Lise Getoor ... [et al.] -- Probabilistic Entity-Relationship Models, PRMs and Plate Models / David Heckerman, Chris Meek, Daphne Koller -- Relational Markov Networks / Ben Taskar ... [et al.] -- Logic-based Formalisms for Statistical Relational Learning / James Cussens -- Bayesian Logic Programming : Theory and Tool / Kristian Kersting, Luc De Raedt -- Stochastic Logic Programs : A Tutorial / Stephen Muggleton, Niels Pahlavi -- Markov Logic : A Unifying Framework for Statistical Relational Learning / Pedro Domingos, Matthew Richardson -- BLOG : Probabilistic Models with Unknown Objects / Brian Milch ... [et al.] -- The Design and Implementation of IBAL : A General-Purpose Probabilistic Language / Avi Pfeffer -- Relational Dependency Networks / Jennifer Neville, David Jensen -- Feature Generation and Selection in Multi-Relational Statistical Learning / Alexandrin Popescul, Lyle H. Ungar -- Reinforcement Learning in Relational Domains : A Policy-Language Approach / Alan Fern, SungWook Yoon, Robert Givan -- Statistical Relational Learning for Natural Language Information Extraction / Razvan C. Bunescu, Raymond J. Mooney -- Global Inference for Entity and Relation Identification via a Linear Programming Formulation / Dan Roth, Wen-tau Yih -- Learning a New View of a Database : With an Application in Mammography / Jesse Davis ... [et al.].

Description based on print version record.

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