Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application. - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.

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hal-01986660 , version 1 (19-01-2019)

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Christine Sinoquet, Kamel Mekhnacha. Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.. 17th International Symposium on Intelligent Data Analysis, IDA2018, Oct 2018, 's-Hertogenbosch, Netherlands. pp.290-302, ⟨10.1007/978-3-030-01768-2_24⟩. ⟨hal-01986660⟩
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