Foundations of Inductive Logic Programming

Shan-Hwei Nienhuys-Cheng et Ronald de Wolf

ISBN 10: 3540629270 ISBN 13: 9783540629276
Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1997
Usado Softcover

Librería: Ammareal, Morangis, Francia Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

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Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 1997. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1997. Ammareal gives back up to 15% of this item's net price to charity organizations. N° de ref. del artículo G-083-829

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Sinopsis:

Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial is the first theoretical introduction to ILP; it provides the reader with a rigorous and sufficiently broad basis for future research in the area.
In the first part, a thorough treatment of first-order logic, resolution-based theorem proving, and logic programming is given. The second part introduces the main concepts of ILP and systematically develops the most important results on model inference, inverse resolution, unfolding, refinement operators, least generalizations, and ways to deal with background knowledge. Furthermore, the authors give an overview of PAC learning results in ILP and of some of the most relevant implemented systems.

Reseña del editor: Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial is the first theoretical introduction to ILP; it provides the reader with a rigorous and sufficiently broad basis for future research in the area.
In the first part, a thorough treatment of first-order logic, resolution-based theorem proving, and logic programming is given. The second part introduces the main concepts of ILP and systematically develops the most important results on model inference, inverse resolution, unfolding, refinement operators, least generalizations, and ways to deal with background knowledge. Furthermore, the authors give an overview of PAC learning results in ILP and of some of the most relevant implemented systems.

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Detalles bibliográficos

Título: Foundations of Inductive Logic Programming
Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Año de publicación: 1997
Encuadernación: Softcover
Condición: Très bon

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