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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2015
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| Assuntos: | |
| Acesso em linha: | 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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