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Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size
Selecting the k best features is a common task in machine learning. Typically, a few features have high importance, but many have low importance (right-skewed distribution). This report proposes a numerically precise method to address this skewed feature importance distribution in order to reduce a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073099/ https://www.ncbi.nlm.nih.gov/pubmed/37016033 http://dx.doi.org/10.1038/s41598-023-32396-9 |