@inproceedings{fbf5adc09e2a417fbfa8d5d13d86a757,
title = "Feature selection using ant colony optimization",
abstract = "The ant feature selection algorithm has recently been proposed as a new method for feature subset selection. It uses measures of both local feature importance and overall performance of subsets to search the feature space for optimal solutions. In this paper, we evaluate the effect of different local importance measures; namely the Fisher Criterion, the Mutual Information based Feature Selection, and the Mutual Information Evaluation Function.",
keywords = "Ant colony optimization, Ant systems, Feature selection, Local measure",
author = "Mohamed Deriche",
year = "2009",
doi = "10.1109/SSD.2009.4956825",
language = "English",
isbn = "9781424443468",
series = "2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009",
booktitle = "2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009",
}