| Foundations of Inductive Logic Programming 1997 Edition Contributor(s): Nienhuys-Cheng, Shan-Hwei (Author), Wolf, Ronald De (Author) |
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ISBN: 3540629270 ISBN-13: 9783540629276 Publisher: Springer OUR PRICE: $80.74 Product Type: Paperback - Other Formats Published: April 1997 |
| Additional Information |
| BISAC Categories: - Computers | Programming - Object Oriented - Computers | Intelligence (ai) & Semantics - Mathematics | Logic |
| Dewey: 005.115 |
| LCCN: 97016488 |
| Series: Topics in Current Chemistry |
| Physical Information: 0.87" H x 6.14" W x 9.21" (1.31 lbs) 410 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |