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Foundations of Inductive Logic Programming: 1228 (Lecture Notes in Computer Science, 1228) - Softcover

 
9783540629276: Foundations of Inductive Logic Programming: 1228 (Lecture Notes in Computer Science, 1228)

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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.

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Foundations of Inductive Logic Programming This self-contained tutorial aims to provide a theoretical introduction to ILP, and to provide the reader with a broad basis for future research. First-order logic, logic programming, inverse resolution, and refinement operators are all explored.

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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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Paperback. Condition: 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. Seller Inventory # 9783540629276

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