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Proximal gradient method for huberized support vector machine
The Support Vector Machine (SVM) has been used in a wide variety of classification problems.
Alternating direction method of multipliers for regularized multiclass support vector machines
A lot of effort has been put to generalize the binary SVM to multiclass SVM (MSVM) which are more complex problems.
HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection
We consider classification tasks in the regime of scarce labeled training data in high dimensional feature space, where specific expert knowledge is also available.
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