Foundations of Inductive Logic Programming - Couverture souple

Nienhuys-Cheng, Shan-Hwei; Wolf, Ronald De

9783540629276: Foundations of Inductive Logic Programming

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ISBN 10 : 3540629270 ISBN 13 : 9783540629276

Editeur : Springer, 2008

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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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2008
Langue: anglais
ISBN 10: 3540629270
ISBN 13: 9783540629276
Reliure: Broch�
Nombre de pages: 428
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Foundations of inductive logic programming. Lecture notes in computer science ; Vol. 1228 : Lecture notes in artificial intelligence

Nienhuys-Cheng, Shan-Hwei and Ronald de Wolf:

Edit� par Berlin ; Heidelberg ; Singapore ; Tokyo ; New York ; Barcelona ; Budapest ; Hong Kong ; London ; Milan ; Paris ; Santa Clara : Springer, 1997

ISBN 10 : 3540629270 ISBN 13 : 9783540629276

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Foundations of Inductive Logic Programming

Shan-Hwei Nienhuys-Cheng and Ronald de Wolf

Edit� par Springer, Berlin, New York, 1997

ISBN 10 : 3540629270 ISBN 13 : 9783540629276

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Soft cover. Etat : Near Fine. Etat de la jaquette : Very Good. ISBN 3540629270. "Lecture Notes in Computer Science". In near fine grey and navy card, green and blue titles to front. The covers are tight, straight and very clean. Unmarked white end papers and cut edges. The text block is tightly bound, straight and clean - near fine plus condition - with no inscriptions etc. In very good green and black card dust jacket, yellow titles and diagram to front; piece of adhesive tape attached to middle area of front by back strip; otherwise clean. N� de r�f. du vendeur 50790

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Foundations of Inductive Logic Programming

Shan-Hwei Nienhuys-Cheng et Ronald de Wolf

Edit� par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1997

ISBN 10 : 3540629270 ISBN 13 : 9783540629276

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Softcover. Etat : Tr�s bon. Ancien livre de biblioth�que avec �quipements. Couverture diff�rente. Edition 1997. Ammareal reverse jusqu'� 15% du prix net de cet article � 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 r�f. du vendeur G-083-829

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Foundations of Inductive Logic Programming

Nienhuys-Cheng, S. H.; Wolf, R.

Edit� par Springer, 1997

ISBN 10 : 3540629270 ISBN 13 : 9783540629276

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Foundations of Inductive Logic Programming (Paperback)

Shan-Hwei Nienhuys-Cheng

Edit� par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1997

ISBN 10 : 3540629270 ISBN 13 : 9783540629276

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Paperback. Etat : new. Paperback. 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. Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783540629276

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