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Artificial Intelligence based wrapper for high dimensional feature selection
BACKGROUND: Feature selection is important in high dimensional data analysis. The wrapper approach is one of the ways to perform feature selection, but it is computationally intensive as it builds and evaluates models of multiple subsets of features. The existing wrapper algorithm primarily focuses...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585895/ https://www.ncbi.nlm.nih.gov/pubmed/37853338 http://dx.doi.org/10.1186/s12859-023-05502-x |