An Empirical Study of Wrappers for Feature Subset Selection based on a Parallel Genetic Algorithm: The Multi-Wrapper Model
Feature selection is the first task of any learning approach that is applied in major fields of biomedical, bioinformatics, robotics, natural language processing and social networking. In feature subset selection problem, a search methodology with a proper criterion seeks to find the best subset of...
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Language: | en |
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2012
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Online Access: | Soufan, O. (2012). An Empirical Study of Wrappers for Feature Subset Selection based on a Parallel Genetic Algorithm: The Multi-Wrapper Model. KAUST Research Repository. https://doi.org/10.25781/KAUST-R9Q03 http://hdl.handle.net/10754/244576 |