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A non-linear data mining parameter selection algorithm for continuous variables
In this article, we propose a new data mining algorithm, by which one can both capture the non-linearity in data and also find the best subset model. To produce an enhanced subset of the original variables, a preferred selection method should have the potential of adding a supplementary level of reg...
Autores principales: | Tavallali, Peyman, Razavi, Marianne, Brady, Sean |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683644/ https://www.ncbi.nlm.nih.gov/pubmed/29131829 http://dx.doi.org/10.1371/journal.pone.0187676 |
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