RoBoTS: A Robust Bounded Twin SVM Based on RoBoSS Loss Function

Mushir Akhtar

doi:10.1016/j.patcog.2026.113653

RoBoTS: A Robust Bounded Twin SVM Based on RoBoSS Loss Function

2026-04-04

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DOI：10.1016/j.patcog.2026.113653

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• Proposes RoBoTS, a novel Robust Bounded Twin SVM using the robust RoBoSS loss function. • Introduces i-RoBoTS, an inverse-free variant for scalable and fast optimization. • Derives generalization bounds using Rademacher complexity for RoBoTS. • Outperforms baselines on various KEEL and UCI benchmark datasets. • Demonstrates superior performance on breast cancer and Alzheimer´s biomedical datasets.

Keywords:

RoBoTS

Bounded Twin SVM

RoBoSS loss function

Generalization bounds

Biomedical datasets

RoBoTS: A Robust Bounded Twin SVM Based on RoBoSS Loss Function

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