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    Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
    13 years 5 months ago
    Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
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    A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
    Mingkui Tan, Li Wang, Ivor W. Tsang
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