Package edu.udo.cs.myRVM.Kernel

This package contains kernel functions usable for the RVM.

See:
Description

Class Summary

Kernel	Abstract base class for all RVM / GP kernels.
KernelBasisFunction	A basis function for kernels.
KernelCauchy	Cauchy kernel: K(x, y) = 1 / (1 + lengthScale^{-2} * ||x - y||^2)
KernelEpanechnikov	Returns the value of the Epanechnikov kernel of both examples.
KernelGaussianCombination	Returns the value of the Gaussian combination kernel of both examples.
KernelLaplace	Laplace kernel: K(x, y) = exp(-sqrt(lengthScale^{-2} * ||x - y||^2))
KernelMultiquadric	Returns the value of the Multiquadric kernel of both examples.
KernelPoly	Laplace kernel: K(x, y) = (lengthScale^{-2} * (x * y) + bias)^order
KernelRadial	Radial basis function (rbf) kernel: K(x, y) = exp(-lengthScale^{-2} * ||x - y||^2)
KernelSigmoid	Returns the value of the Sigmoid kernel of both examples.

Package edu.udo.cs.myRVM.Kernel Description

This package contains kernel functions usable for the RVM.