| 刊年 | 1996 |
| G/SMD | リモートファイル |
| 形態 | 1 online resource (vii, 240 p.) : ill. |
| シリーズ名 | Logic programming
|
| 注記 | Includes bibliographical references (p. [219]-235) and index
Restricted to subscribers or individual electronic text purchasers
Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance.Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, inverse resolution, and inverse implication), an analysis of top-down methods (mainly MIS and FOIL-like systems), and a survey of methods and languages for specifying inductive bias Logic Programming series
Also available in print
Mode of access: World Wide Web
Description based on PDF viewed 12/23/2015
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276819(Abstract with links to resource) |
| 出版国 | アメリカ合衆国 |
| 標題言語 | 英語 |
| 本文言語 | 英語 |
| 著者情報 | Bergadano, Francesco
Gunetti, Daniele
|
| ISBN | 9780262288422(: electronic bk)
|
| 無効/取消ISBN | 9780262023931(: electronic bk)
|
| 件名 | LCSH:Logicprogramming
|
| NCID | 6276819 |
| IDENT | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276819 |