How are parameters of the radial basis functions chosen?
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Radial basis function (RBF) methods have broad applications in numerical analysis and
statistics. They have found uses in the numerical solution of PDEs, data mining, machine
learning, and kriging methods in statistics. This work examines the use of radial basis functions
in scattered data approximation.
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