分享给好友:
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
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2003年8月6日 |
| 原始发行日期 | 2002 |
| ISBN13 | 9783540420279 |
| 出版商 | Springer-Verlag Berlin and Heidelberg Gm |
| 页数 | 267 |
| 商品尺寸 | 156 × 234 × 15 mm · 521 g |
| 语言 | 德语 |