Novelty detection employing an L_2 optimal non-parametric density estimator

摘要

This paper considers the application of a recently proposed L_2 optimal non-parametric reduced set density estimator to novelty detection and binary classification and provides empirical comparisons with other forms of density estimation as well as support vector machines.