Approximation beats concentration? An approximation view on inference with smooth radial kernels

10 Jan 2018Mikhail Belkin

Positive definite kernels and their associated Reproducing Kernel Hilbert Spaces provide a mathematically compelling and practically competitive framework for learning from data. In this paper we take the approximation theory point of view to explore various aspects of smooth kernels related to their inferential properties... (read more)

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