Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application

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. In Wouter Duivesteijn, Arno Siebes, Antti Ukkonen, editors, Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings. Volume 11191 of Lecture Notes in Computer Science, pages 290-302, Springer, 2018. [doi]

Abstract

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