DWFS: a wrapper feature selection tool based on a parallel genetic algorithm.
Many scientific problems can be formulated as classification tasks. Data that harbor relevant information are usually described by a large number of features. Frequently, many of these features are irrelevant for the class prediction. The efficient implementation of classification models requires id...
Main Authors: | Othman Soufan, Dimitrios Kleftogiannis, Panos Kalnis, Vladimir B Bajic |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4342225?pdf=render |
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