A critical look at experimental evaluations of EBL

作者:Alberto Segre, Charles Elkan, Alexander Russell

摘要

A number of experimental evaluations ofexplanation-based learning (EBL) have been reported in the literature on machine learning. A close examination of the design of these experiments revelas certain methodological problems that could affect the conclusions drawn from the experiments. This article analyzes some of the more common methodological difficulties, and illustrates them using selected previous studies.

论文关键词:Explanation-based learning, speedup learning, performance measures

论文评审过程:

论文官网地址:https://doi.org/10.1007/BF00114163