@inproceedings{4b198b977a2e442cb4b998d47e52bc76,
title = "Ant colony optimization combining with mutual information for feature selection in support vector machines",
abstract = "An effective feature selection scheme is proposed, which utilizes the combination of wrapper and filter: ant colony optimization (ACO) and mutual information (MI). By examining the modeling based on SVMs at the Australian Bureau of Meteorology, the simulation of three different methods of feature selection shows that the proposed method can reduce the dimensionality of inputs, speed up the training of the network and get better performance.",
author = "Chunkai Zhang and Hong Hu",
year = "2005",
doi = "10.1007/11589990\_110",
language = "英语",
isbn = "3540304622",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "918--921",
booktitle = "AI 2005",
address = "德国",
note = "18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence ; Conference date: 05-12-2005 Through 09-12-2005",
}