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HDSI: High dimensional selection with interactions algorithm on feature selection and testing
Feature selection on high dimensional data along with the interaction effects is a critical challenge for classical statistical learning techniques. Existing feature selection algorithms such as random LASSO leverages LASSO capability to handle high dimensional data. However, the technique has two m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886179/ https://www.ncbi.nlm.nih.gov/pubmed/33592034 http://dx.doi.org/10.1371/journal.pone.0246159 |