Reproducing kernel Hilbert'spaces - Globe Thesis

Font Size: a A A

Keyword [Reproducing kernel Hilbert'spaces] Result: 1 - 12 \| Page: 1 of 1
1.	Learning On Riemannian Manifold: Online Classification And Multi-Kernel Algorithms
2.	Statistical Learning Algorithms For Regression And Regularized Spectral Clustering
3.	Interpolation Methods In The Two Given Reproducing Kernel Hilbert Spaces
4.	Sampling Theorems In Reproducing Kernel Hilbert Spaces
5.	KARHUNEN-LOèVE Expansions And Reproducing Kernel Hilbert Spaces Of Several Types Of Gaussian Processes
6.	A Kind Of Estimate For The Learning Rates Of Regularized Regression Algorithms
7.	Karhunen-Loeve Expansions And Positive Definite Of Covariance Function Of Gaussian Process
8.	Toeplitz Operators On Reproducing Kernel Hilbert Spaces
9.	Penalized likelihood regression in reproducing kernel Hilbert spaces with randomized covariate data
10.	Wavelets on manifolds and multiscale reproducing kernel Hilbert spaces
11.	Reproducing kernel Hilbert spaces in learning theory
12.	A matrix version of corona theorem for algebras of functions on reproducing kernel Hilbert spaces
<<First <Prev Next> Last>> Jump to