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...

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Detalles Bibliográficos
Autores principales: Jain, Rahi, Xu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

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