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Reproducing Kernel Hilbert Spaces in Non-parametric Statistics
If you have a question about this talk, please contact Colorado Reed.
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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Other listsAll CMS Events The Annual CCHSR Lecture 2016 Martin Centre Research Seminars, Dept of Architecture
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