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Jure Sokolic et al.
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Kumar Ravi et al.
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Robust feature selection based on regularized brownboost loss
Pan Wei et al.
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Bo Liu et al.
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Efficient max-margin multi-label classification with applications to zero-shot learning
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LIBSVM: A Library for Support Vector Machines
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P Mitra et al.
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G Rätsch et al.
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