Abdesselam Bouserdoum

Scalable Hierarchical Mixture of Gaussian Processes for Pattern Classification

This paper introduces a novel Gaussian process (GP) classification method that combines advantages of global and local GP approximators through a two-layer hierarchical model. The upper layer consists of a global sparse GP to coarsely model the entire dataset. The lower layer is a mixture of GP expe…