EDSVM augments SVM slack loss with a localized deviation penalty toward benchmark slacks for elite observations, yielding dual quadratic programs and competitive performance on UCI benchmarks while tracking reference models.
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Elite-Driven Support Vector Machines for Classification
EDSVM augments SVM slack loss with a localized deviation penalty toward benchmark slacks for elite observations, yielding dual quadratic programs and competitive performance on UCI benchmarks while tracking reference models.