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149
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ICML
2010
IEEE
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Machine Learning
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ICML 2010
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Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
15 years 3 months ago
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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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