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Logic for Learning: Learning Comprehensible Theories from Structured Data - Cognitive Technologies J. W. Lloyd
Logic for Learning: Learning Comprehensible Theories from Structured Data - Cognitive Technologies
J. W. Lloyd
Provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. This book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.
267 pages, 1 black & white illustrations, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | August 6, 2003 |
| Original release date | 2002 |
| ISBN13 | 9783540420279 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 267 |
| Dimensions | 156 × 234 × 15 mm · 521 g |
| Language | German |