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Reproducing-Kernel-Hilbert space

Rosipal R, Trejo LJ. Kernel partial least squares regression in reproducing Kernel Hilbert space. J Machine Learning Res 2001 2 97-123. [Pg.465]

Fitting forms obtained from other motivations such as standard cubic-spline methods. Morse-spline and rotated Morse-spline interpolation methods, reproducing kernel Hilbert space interpolation methods, distributed approximating functionals, and hybrid methods combining spline fits with simple empirical functions. ... [Pg.220]

DMBE) methods. Regarding the interpolation techniques, we focus on the global reproducing kernel Hilbert space method,... [Pg.221]

Rosipal R, Trejo LJ (2002) Kernel partial least squares regression in reproducing Kernel Hilbert Space. J Mach Learn Res 2(2) 97 123. doi 10.1162/15324430260185556 Baskin II, Tikhonova IG, Palyulin VA, Zefirov NS (2003) Selectivity fields comparative molecular field analysis (CoMFA) of the glycine/NMDA and AMPA receptors. J Med Chem 46(19) 4063 069... [Pg.457]

Another general method for constructing PESs from ab initio methods, based on the framework of the reproducing kernel Hilbert space , has recently been proposed. This interpolation method yields globally smooth representations with continuous energies and derivatives. The method has been illustrated for two- and three-atom systems, but can be extended to higher dimensions. [Pg.3059]


See other pages where Reproducing-Kernel-Hilbert space is mentioned: [Pg.107]    [Pg.205]    [Pg.227]    [Pg.431]    [Pg.107]    [Pg.205]    [Pg.227]    [Pg.431]   
See also in sourсe #XX -- [ Pg.107 ]




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