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ADCM
2008
187views more  ADCM 2008»
13 years 4 months ago
Approximation on the sphere using radial basis functions plus polynomials
In this paper we analyse a hybrid approximation of functions on the sphere S2 R3 by radial basis functions combined with polynomials, with the radial basis functions assumed to be...
Ian H. Sloan, Alvise Sommariva
AAAI
2011
12 years 4 months ago
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
We describe the Fourier Basis, a linear value function approximation scheme based on the Fourier Series. We empirically evaluate its properties, and demonstrate that it performs w...
George Konidaris, Sarah Osentoski, Philip Thomas
SIAMSC
2011
153views more  SIAMSC 2011»
12 years 11 months ago
Stable Computations with Gaussian Radial Basis Functions
Abstract. Radial basis function (RBF) approximation is an extremely powerful tool for representing smooth functions in non-trivial geometries, since the method is meshfree and can ...
Bengt Fornberg, Elisabeth Larsson, Natasha Flyer
SIAMSC
2008
191views more  SIAMSC 2008»
13 years 4 months ago
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
Stefan M. Wild, Rommel G. Regis, Christine A. Shoe...
CAGD
2006
90views more  CAGD 2006»
13 years 4 months ago
Local hybrid approximation for scattered data fitting with bivariate splines
We suggest a local hybrid approximation scheme based on polynomials and radial basis functions, and use it to modify the scattered data fitting algorithm of [7]. Similar to that a...
Oleg Davydov, Rossana Morandi, Alessandra Sestini