Open access
2026
Robust SVM Classification with ℓ 0 -Norm Feature Selection
We introduce a robust classification model designed for feature selection. Support vector machine (SVM) models continue to play a crucial role in binary classification, particularly with tabular data. Their robust variants are essential for developing classifiers that remain stable despite shifts in data distribution...
Miguel Carrasco, B. Ivorra, Julio López et al.
· Journal of Convex Analysis · 0 citations