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REGULARIZATION IN KERNEL LEARNING - JStor
eigenvalues of Tk as above, one may use a regularization term (up to logarithmic term) of r2p/d+p) ... ample given in [37] of a C?? kernel without uniformly bounded eigenfunctions satisfies our weaker ... Vx = {OCf:O<0 < l,E(eCf)<x} = { hest3i(CF,0):Eh<x}. [where, for a set T, ... is 02/(1+p). Thus, by Theorem 2.5, with high probability, any minimizer of A in H\ will satisfy. (5.1) Plf<M (Plf+k2V(\\f\\h,u))i where V is ...
COMPUTATIONAL AND STATISTICAL BOUNDARIES FOR ... - JSTOR
For a range of contemporary applications in statistical learning and signal pro cessing, M and ... above—for all possible choices of Rm and C„—forms the submatrix model. M(m,n,km,kn ... measures of zero-mean sub-Gaussian random variables satisfy this isotropic definition up to a ... (5.2) P/Vx,- > <expf Y. \S /" V Er,, EX ... The first term of (5.10) is 02(X) < 02 (M) + ||Z||2 through Weyl's interlac ing inequality ...
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An introduction to Differential Linear Logic: proof-nets, models and ...
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The maximal subgroups of positive dimension in exceptional ...
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Gsv Advisors, Llc 2019 Annual Report X-17A-5 - SEC Report
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