no code implementations • NeurIPS 2010 • Ernesto D. Vito, Lorenzo Rosasco, Alessandro Toigo
In this paper we consider the problem of learning from data the support of a probability distribution when the distribution {\em does not} have a density (with respect to some reference measure).