The notion of Concept Learning in the context of this paper is not what i have in mind. First of all is all about rule learning. I am possibly confusing concept learning with feature extraction. Nothing important about this paper except from the Adaptive GAs and the corresponding references which could prove useful in some other context.
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%0 Journal Article
%1 G006a
%A Jong, K. A. De
%A Spears, W. M.
%A Gordon, D. F.
%D 1993
%J Machine Learning
%K Concept adjustment. algorithms, bias genetic learning,
%P 161-188
%T Using Genetic Algorithms for Concept Learning.
%V 16
@article{G006a,
added-at = {2009-06-22T10:05:09.000+0200},
author = {Jong, K. A. De and Spears, W. M. and Gordon, D. F.},
biburl = {https://www.bibsonomy.org/bibtex/2473754f2a311ca8e5a73f20d8be6a1cd/n.nanas},
interhash = {544905cea8af449f1cf2b8e66713ef41},
intrahash = {473754f2a311ca8e5a73f20d8be6a1cd},
journal = {Machine Learning},
keywords = {Concept adjustment. algorithms, bias genetic learning,},
pages = {161-188},
qnote = {The notion of Concept Learning in the context of this paper is not what i have in mind. First of all is all about rule learning. I am possibly confusing concept learning with feature extraction. Nothing important about this paper except from the Adaptive GAs and the corresponding references which could prove useful in some other context.},
timestamp = {2009-06-23T10:19:15.000+0200},
title = {Using Genetic Algorithms for Concept Learning.},
volume = 16,
year = 1993
}