Proposes robust multiclass TPMSVM models derived via robust optimization for handling feature uncertainty, with linear and kernel versions plus validation on real datasets.
A novel e mbedded min-max approach for feature selection in nonlinear support vector machine classifica tion
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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
Proposes robust multiclass TPMSVM models derived via robust optimization for handling feature uncertainty, with linear and kernel versions plus validation on real datasets.