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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Foundations of Inductive Logic Programming

Foundations of Inductive Logic Programming

Nienhuys-Cheng, Shan-Hwei
Wolf, Ronald De

Paperback

FictionGeneral ComputersProgramming

ISBN10: 3540629270
ISBN13: 9783540629276
Publisher: Springer
Published: Apr 18 1997
Pages: 410
Weight: 1.31
Height: 0.87 Width: 6.14 Depth: 9.21
Language: English
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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