Machine learning from examples: Inductive and Lazy methods
摘要：
Machine Learning from examples may be used, within Artificial Intelligence, as a way to acquire general knowledge or associate to a concrete problem solving system. Inductive learning methods are typically used to acquire general knowledge from examples. Lazy methods are those in which the experience is accessed, selected and used in a problem-centered way. In this paper we report important approaches to inductive learning methods such as propositional and relational learners, with an emphasis in Inductive Logic Programming based methods, as well as to lazy methods such as instance-based and case-based reasoning.
展开
关键词：
case-based reasoning inductive learning inductive logic programming instance-based learning lazy learning machine learning
DOI：
10.1016/S0169-023X(97)00053-0
被引量：
年份：
1998
相似文献
参考文献
引证文献
辅助模式
引用
文献可以批量引用啦~
欢迎点我试用！
