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Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss
Recent advance on linear support vector machine with the 0-1 soft margin loss ($L_{0/1}$-SVM) shows that the 0-1 loss problem can be solved directly.
Single and Union Non-parallel Support Vector Machine Frameworks
The other type constructs all the hyperplanes simultaneously, and it solves one big optimization problem with the ascertained loss of each sample.
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