SVM Kernels and Radial Basis Functions This article covers Radial Basis Functions (RBFs) and their application within Support Vector Machines for training Machine Learning models. I get it - but the ...

ExcelentRBF - Interactive Examples of Interpolation with Radial Basis Functions in Microsoft Excel Many papers, examples, and tutorials on interpolation with Radial Basis Functions (RBF) are ...

In this paper we present a sequential sampling strategy for multiresponse radial basis function. Different from traditional methods which construct a single metamodel for each scalar response ...

The performances of classical approximation methods and radial-basis function (RBF) neural networks in tracking of height density data are presented in the first part of the paper. The application of ...

The book "Radial Basis Function Methods For Large-Scale Wave Propagation", details the development of techniques and ideas from the radial basis function. It begins with a mathematical description ...

Using the radial basis function approach, we compute the probability of bank survival using a partial Volterra integrodifferential equation. Given the importance of operational risk in financial ...

Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating higher order ...