Author

Hongchun Wang

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Preprint Aug 2026

Sparse and robust geometric twin support vector machine via asymmetric RoBoSS loss function

A novel asymmetric, robust, bounded, sparse and smooth (aR) loss function for $l_1-norm penalized geometric twin SVM (aRSGTSVM) to handle classification and regression tasks and develops a fast and stable proximal gradient descent based solving algorithm.

Kai Qi, Xin-Jie Huang, Hongchun Wang · 0 citations