Philip Harris

Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies

This work introduces SparKer, a sparse ensemble of Gaussian kernels trained in a semi-supervised Neyman-Pearson framework to locally model the likelihood ratio between a sample that may contain anomalies and an anomaly-free reference, and provides theoretical insights into the mechanisms driving detection and self-orga...