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Reproducing Kernel Hilbert Spaces in Non-parametric Statistics

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In this talk, I will introduce the theory of reproducing kernel Hilbert spaces and its applications in non-parametric classification, regression and hypothesis testing.

This talk is part of the Machine Learning Reading Group @ CUED series.

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