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March 1, 2003Journal of Machine Learning Research

Dimensionality reduction via sparse support vector machines

BiJinbo BennettKristin EmbrechtsMark BrenemanCurt SongMinghu

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Abstract

We describe a methodology for performing variable ranking and selection using support vector machines (SVMs). The method constructs a series of sparse linear SVMs to generate linear models that can...

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Cite This Study

BiJinbo et al. (2003) studied this question.

synapsesocial.com/papers/6a21be7d32b29d45fac0024f https://doi.org/10.5555/944919.944971

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