Dimensionality reduction via sparse support vector machines
BiJinbo, BennettKristin, EmbrechtsMark, BrenemanCurt, SongMinghu · Journal of Machine Learning Research · 2003
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...