Abstract
This article studies the problem of approximating functions belonging to a Hilbert space with an isotropic or anisotropic Gaussian reproducing kernel, $$ K_d(\bx,\bt) = \exp\left(-\sum_{\ell=1}^dγ_\ell^2(x_\ell-t_\ell)^2\right) \ \ \ \mbox{for all}\ \ \bx,\bt\in\reals^d. $$ The isotropic case corresponds to using the same shape parameters for all coordinates, namely for all , whereas the anisotropic case corresponds to varying shape parameters . We are especially interested in moderate to large .
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