Nonparametric Variable Selection Using Machine Learning Algorithms in High Dimensional (Large P, Small N) Biomedical Applications

Abstract

Biomedical data is facing an ever increasing amount of data that resist classical methods. Classical methods cannot be applied in the case of high dimensional datasets where the number of parameters greatly exceeds the number of observations, the so-called “large p small n” problem. Machine Learning techniques have had tremendous success in these realms in… (More)

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