Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section)

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@article{3:48,author={Jinbo Bi and Kristin Bennett and Mark Embrechts and Curt Breneman and Minghu Song}, Title={Dimensionality Reduction via Sparse Support Vector Machines
(Kernel Machines Section)},journal={Journal of Machine Learning Research},volume={3}, url={http://www.jmlr.org/papers/volume3/bekkerman03a/bekkerman03a.pdf}}

Citation:

Bi, J., Bennett, K., Embrechts, M., Breneman, C., & Song, M.. (2014). Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section) [Data set]. Academic Torrents. https://academictorrents.com/details/fdb1fb6a9897eb597328eaa81b648bd8fc5d1ec0

Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section) Jinbo Bi and Kristin Bennett and Mark Embrechts and Curt Breneman and Minghu Song

Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section)
Jinbo Bi and Kristin Bennett and Mark Embrechts and Curt Breneman and Minghu Song