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Introduction to statistical relational learning
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Introduction to statistical relational learning

Autor: Lise Getoor; Ben Taskar
Editorial: Cambridge, Mass. : MIT Press, ©2007.
Serie: Adaptive computation and machine learning.
Edición/Formato:  Libro : Inglés (eng)Ver todas las ediciones y todos los formatos
Resumen:
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.
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Género/Forma: Aufsatzsammlung
Tipo de material: Recurso en Internet
Tipo de documento: Libro/Texto, Recurso en Internet
Todos autores / colaboradores: Lise Getoor; Ben Taskar
ISBN: 9780262072885 0262072882
Número OCLC: 80019804
Notas: "Index" : an online index is available on the book webpage at http://www.cs.umd.edu/srl-book/index.htm.
Descripción: ix, 586 p. : ill. ; 26 cm.
Contenido: 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.].
Título de la serie: Adaptive computation and machine learning.
Responsabilidad: edited by Lise Getoor, Ben Taskar.
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Resumen:

Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for  Leer más

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Datos enlazados


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