Machine Learning
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Nearest neighbor classifier: simultaneous editing and feature selection
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Machine Learning
Information Sciences: an International Journal
A hybrid fuzzy-genetic algorithm
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
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In this paper we analyze the performance of several evolutionary algorithms in the feature and instance selection problem. It is also introduced the ARGEN + AREPO search algorithm which has been tested in the same problem. There is no need to adapt parameters in this genetic algorithm, except the population size. The reported preliminary results show that using this technique in a wrapper model to search data subsets, we can obtain similar accuracy like with the hill-climbers and genetic algorithms models also here presented, but keeping a less amount of data.