Notes
Machine Learning
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A kernel K is a function of two arguments such that K(u, v) = F(u).F(v) for some feature mapping
Vapnik's Polynomial kernel:
Kd(u,v)=(1+u·v)^d
(positive integer d is the degree parameter)
Simple Least Squares
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- Note on Machine Learning, created by jack.hopkins on 10/04/2014.
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- jack.hopkins · Apr 2014
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- Feb 19, 2016
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