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Kernel Methods in Statistic and Machine Learning

Last update: 21 Apr 2025 21:17
First version: 15 May 2019

Yet Another Inadequate Placeholder

I mean in the sense of kernels used to measure how similar two objects or data-points are, rather than (or as well as) things like kernel regression smoothing (Nadaraya-Watson smoothing) or density estimation, where the kernel is used to smooth out data.


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