Ensembles of Kernel Predictors

This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing this problem based on ensembles of kernel predictors. This includes novel theoretical guarantees based on the Rademacher complexity of the corresponding

• Type: Journal
• Year: 2012
• Where: CORR
• Authors: Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
• Keywords: CORR 2012, Education, Empirical Analysis, Ensembles, Kernels