An Empirical Study of Wrappers for Feature Subset Selection based on a Parallel Genetic Algorithm: The Multi-Wrapper Model

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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Bibliographic Details
Main Author: Soufan, Othman
Other Authors: Bajic, Vladimir B.
Language:en
Published: 2012
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

Internet

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

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