In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms.

In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions.

an advanced method in approximation theory for constructing high-order accurate interpolants of unstructured data, possibly in high-dimensional spaces.