Foundations of Inductive Logic Programming (Lecture Notes in Computer Science #1228)
by Shan-Hwei Nienhuys-Cheng and Ronald de Wolf
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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.
The book, Foundations of Inductive Logic Programming (Lecture Notes in Computer Science #1228) [Bulk, Wholesale, Quantity] ISBN#9783540629276 in Paperback by Shan-Hwei Nienhuys-Cheng, Ronald de Wolf may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Berlin Heidelberg
- Authors
- Shan-Hwei Nienhuys-Cheng, Ronald de Wolf
- Format
- Paperback
- Published
- Apr 18, 1997
- ISBN-13
- 9783540629276
- Pages
- 410
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Foundations of Inductive Logic Programming (Lecture Notes in Computer Science #1228)
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