An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature Selection

In Machine Learning, feature selection is an important step in classifier design. It consists of finding a subset of features that is optimum for a given cost function. One possibility to solve feature selection is to organize all possible feature subsets into a Boolean lattice and to exploit the fa...

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Detalles Bibliográficos
Autores principales: Estrela, Gustavo, Gubitoso, Marco Dimas, Ferreira, Carlos Eduardo, Barrera, Junior, Reis, Marcelo S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516975/
https://www.ncbi.nlm.nih.gov/pubmed/33286261
http://dx.doi.org/10.3390/e22040492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516975/
https://www.ncbi.nlm.nih.gov/pubmed/33286261
http://dx.doi.org/10.3390/e22040492

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