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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4342225/ https://www.ncbi.nlm.nih.gov/pubmed/25719748 http://dx.doi.org/10.1371/journal.pone.0117988 |