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Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces
Support vector machine (SVM) is a powerful classification method that has achieved great success in many fields.
Distributed estimation of principal support vector machines for sufficient dimension reduction
The principal support vector machines method (Li et al., 2011) is a powerful tool for sufficient dimension reduction that replaces original predictors with their low-dimensional linear combinations without loss of information.
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