Feature Selection for Regression Based on Gamma Test Nested Monte Carlo Tree Search

This paper investigates the nested Monte Carlo tree search (NMCTS) for feature selection on regression tasks. NMCTS starts out with an empty subset and uses search results of lower nesting level simulation. Level 0 is based on random moves until the path reaches the leaf node. In order to accomplish...

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Detalles Bibliográficos
Autores principales: Li, Ying, Li, Guohe, Guo, Lingun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535147/
https://www.ncbi.nlm.nih.gov/pubmed/34682055
http://dx.doi.org/10.3390/e23101331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535147/
https://www.ncbi.nlm.nih.gov/pubmed/34682055
http://dx.doi.org/10.3390/e23101331

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