A Critical Look at Experimental Evaluations of EBL
Abstract
A number of experimental evaluations of explanation-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.
Cite
Text
Segre et al. "A Critical Look at Experimental Evaluations of EBL." Machine Learning, 1991. doi:10.1007/BF00114163Markdown
[Segre et al. "A Critical Look at Experimental Evaluations of EBL." Machine Learning, 1991.](https://mlanthology.org/mlj/1991/segre1991mlj-critical/) doi:10.1007/BF00114163BibTeX
@article{segre1991mlj-critical,
title = {{A Critical Look at Experimental Evaluations of EBL}},
author = {Segre, Alberto M. and Elkan, Charles and Russell, Alexander},
journal = {Machine Learning},
year = {1991},
pages = {183-195},
doi = {10.1007/BF00114163},
volume = {6},
url = {https://mlanthology.org/mlj/1991/segre1991mlj-critical/}
}