Pavel Kisilev

NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning

Multiple Kernel Learning (MKL) methods are known for their effectiveness in solving classification and regression problems involving multi-modal data. Many MKL approaches use linear combination of base kernels, resulting in somewhat limited feature representations. Several non-linear MKL formulation…