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Synopsis
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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- PublisherSpringer
- Publication date1997
- ISBN 10 3540629270
- ISBN 13 9783540629276
- BindingPaperback
- LanguageEnglish
- Number of pages428
- Rating
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Foundations of inductive logic programming. Lecture notes in computer science ; Vol. 1228 : Lecture notes in artificial intelligence
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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
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Springer, Berlin, New York, 1997
ISBN 10: 3540629270
ISBN 13: 9783540629276
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Soft cover. Condition: Near Fine. Dust Jacket Condition: 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. Seller Inventory # 50790
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Foundations of Inductive Logic Programming
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1997
ISBN 10: 3540629270
ISBN 13: 9783540629276
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Softcover. Condition: Très bon. 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. Seller Inventory # G-083-829
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Foundations of Inductive Logic Programming (Lecture Notes in Computer Science, 1228)
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Foundations of Inductive Logic Programming
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Springer Berlin Heidelberg Apr 1997, 1997
ISBN 10: 3540629270
ISBN 13: 9783540629276
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 428 pp. Englisch. Seller Inventory # 9783540629276
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Foundations of Inductive Logic Programming (Lecture Notes in Computer Science, 1228)
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Foundations of Inductive Logic Programming (Lecture Notes in Computer Science, 1228)
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Foundations of Inductive Logic Programming
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Springer Berlin Heidelberg, 1997
ISBN 10: 3540629270
ISBN 13: 9783540629276
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783540629276
Quantity: 1 available