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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...

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Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Soufan, Othman, Kleftogiannis, Dimitrios, Kalnis, Panos, Bajic, Vladimir B.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2015
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4342225/
https://ncbi.nlm.nih.gov/pubmed/25719748
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0117988
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