Fast and interpretable Support Vector Classification based on the truncated ANOVA decomposition

Kseniya Akhalaya, Franziska Nestler, Daniel Potts

Support Vector Machines (SVMs) are an important tool for performing classification on scattered data, where one usually has to deal with many data points in high-dimensional spaces…