A general framework of nonparametric feature selection in high-dimensional data.
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DOI: 10.1111/biom.13664
Abstract: Nonparametric feature selection for high-dimensional data is an important and challenging problem in the fields of statistics and machine learning. Most of the existing methods for feature selection focus on parametric or additive models which… read more here.
Keywords: nonparametric feature; selection; feature selection; high dimensional ... See more keywords