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Recursive Feature Elimination by Sensitivity Testing

There is great interest in methods to improve human insight into trained non-linear models. Leading approaches include producing a ranking of the most relevant features, a non-trivial task for non-linear models. We show theoretically and empirically the benefit of a novel version of recursive featur...

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Detalhes bibliográficos
Publicado no:Proc Int Conf Mach Learn Appl
Main Authors: Escanilla, Nicholas Sean, Hellerstein, Lisa, Kleiman, Ross, Kuang, Zhaobin, Shull, James D., Page, David
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6887481/
https://ncbi.nlm.nih.gov/pubmed/31799516
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICMLA.2018.00014
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