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searching for Positive-definite kernel 4 found (22 total)

alternate case: positive-definite kernel

Gaussian process (5,929 words) [view diff] no match in snippet view article find links to article

{\mathcal {H}}(R)} be a reproducing kernel Hilbert space with positive definite kernel R {\displaystyle R} . Driscoll's zero-one law is a result characterizing

Bochner's theorem (1,405 words) [view diff] exact match in snippet view article find links to article

{\displaystyle h(g)=0} for all but finitely many g {\displaystyle g} . The positive-definite kernel K ( g 1 , g 2 ) = f ( g 1 − g 2 ) {\displaystyle K(g_{1},g_{2})=f(g_{1}-g_{2})}

Representer theorem (2,800 words) [view diff] no match in snippet view article find links to article

guaranteed by the representer theorem. This method works for any positive definite kernel K {\displaystyle K} , and allows us to transform a complicated

Principal component analysis (14,450 words) [view diff] no match in snippet view article find links to article

performed in a reproducing kernel Hilbert space associated with a positive definite kernel. In multilinear subspace learning, PCA is generalized to multilinear