Feature Selection in Nonlinear SVMs via Local Search and Submodular Optimization

Federico D'Onofrio, Yuri Faenza, Laura Palagi

Embedded feature selection is a classical approach to interpretable machine learning, aiming to iden- tify the most informative variables while simultaneously training the predicti…