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Book synopsis

Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial 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.

Book details

Book category Books in English Computing & information technology Computer programming / software development

• Full title: Foundations of Inductive Logic Programming
• Author: Shan-Hwei Nienhuys-Cheng, Ronald de Wolf
• Language: English
• Binding: Paperback
• Number of pages: 410
• EAN: 9783540629276
• ISBN: 3540629270
• ID: 01566361
• Publisher: Springer, Berlin
• Weight: 636 g
• Dimensions: 234 × 156 × 22 mm
• Published: 1997

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