Feature space approximation for kernel-based supervised learning

Patrick Gelß, Stefan Klus, Ingmar Schuster +1

We propose a method for the approximation of high- or even infinite-dimensional feature vectors, which play an important role in supervised learning. The goal is to reduce the size…