Foundations of Inductive Logic Programming (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. Get and download textbook Foundations of Inductive Logic Programming (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) for free
author ronald de wolf author shan hwei nienhuys cheng format paperback language english publication year 18 04 1997 series lecture notes in computer science subject computing it subject 2 computing professional programming title foundations of inductive logic programming lecture notes in computer science lecture notes in artificial intelligence author shan hwei nienhuys cheng ronald de wolf publisher springer verlag publication date jun 01 1997 pages 404 binding paperback edition 1 st dimensions
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 Foundations of Inductive Logic Programming new edition
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Foundations of Inductive Logic Programming: Ronald De Wolf, Shan-Hwei Nienhuys-Cheng
Foundations of Inductive Logic Programming Springer 9783540629276 09783540629276
Foundations of Inductive Logic Programming, ISBN-13: 9783540629276, ISBN-10: 3540629270
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Foundations of Inductive Logic Programming Textbook
Furthermore, the authors give an overview of PAC learning results in ILP and of some
