Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach

被引：0
|
作者：
Philip G.K. Reiser
Patricia J. Riddle
机构：
[1] University of Auckland,Department of Computer Science
来源：
Applied Intelligence | 2001年 / 15卷
关键词：
evolutionary algorithms; inductive logic programming; sampling; machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Inductive logic programming (ILP) algorithms are classification algorithms that construct classifiers represented as logic programs. ILP algorithms have a number of attractive features, notably the ability to make use of declarative background (user-supplied) knowledge. However, ILP algorithms deal poorly with large data sets (>104 examples) and their widespread use of the greedy set-covering algorithm renders them susceptible to local maxima in the space of logic programs.
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页码：181 / 197
页数：16
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