APPROACHES TO INDUCTIVE LOGIC PROGRAMMING

被引：0

作者：

BRAZDIL, PB

机构：

来源：

LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 1992年 / 617卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Inductive Logic Programming (ILP) is concerned with construction of logic programs from examples. It shares many concerns of Machine Learning (ML), but is committed to logic. As logic can help to provide a basis for elaborating such a methodology for learning, the area of ILP has attracted a wide attention of many researchers1. This paper reviews some of the methods and techniques in ML that exploit logic.

引用

页码：139 / 160

页数：22

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