ReadMe file for the KERN toolbox version 0.1 Saturday, June 12, 2004 at 15:34:42
Written by Neil D. Lawrence.$Revision: 1.3 1.0 $

ardKernCompute.m: Compute the kernel given the parameters and X.
ardKernDiagCompute.m: Compute diagonal of ard kernel.
ardKernDiagGradX.m: Gradient of ARD kernel's diagonal with respect to a point x.
ardKernDisplay.m: Display parameters of ARD kernel.
ardKernExpandParam.m: Create kernel structure from ARD parameters.
ardKernExtractParam.m: Extract parameters from ard kernel structure.
ardKernGradX.m: Gradient of ARD kernel with respect to a point x.
ardKernGradient.m: Gradient of ard kernel's parameters.
ardKernParamInit.m: ARD kernel parameter initialisation.
biasKernCompute.m: Compute the bias kernel given the parameters and X.
biasKernDiagCompute.m: Compute diagonal of bias kernel.
biasKernDiagGradX.m: Gradient of bias kernel's diagonal with respect to a point x.
biasKernDisplay.m: Display parameters of bias kernel.
biasKernExpandParam.m: Create kernel structure from bias's parameters.
biasKernExtractParam.m: Extract parameters from bias kernel structure.
biasKernGradX.m: Gradient of bias kernel with respect to a point x.
biasKernGradient.m: Gradient of bias kernel's parameters.
biasKernParamInit.m: bias kernel parameter initialisation.
cmpndKernCompute.m: Compute the kernel given the parameters and X.
cmpndKernDiagCompute.m: Compute diagonal of compound kernel.
cmpndKernDiagGradX.m: Gradient of compound kernel's diagonal with respect to a point x.
cmpndKernDisplay.m: Display the parameters of the compound kernel.
cmpndKernExpandParam.m: Create kernel structure from ARD parameters.
cmpndKernExtractParam.m: Extract parameters from compound kernel structure.
cmpndKernGradX.m: Gradient of compound kernel with respect to a point x.
cmpndKernGradient.m: Gradient of compound kernel's parameters.
cmpndKernParamInit.m: Compound kernel parameter initialisation.
computeKernel.m: Compute the kernel given the parameters and X.
kernCompute.m: Compute the kernel given the parameters and X.
kernCreate.m: Initialise a kernel structure.
kernDiagCompute.m: Compute the kernel given the parameters and X.
kernDiagGradX.m: Compute the gradient of the  kernel wrt X.
kernDisplay.m: Display the parameters of the kernel.
kernExpandParam.m: Expand parameters to form a kernel structure.
kernExtractParam.m: Extract parameters from kernel structure.
kernGradX.m: Compute the gradient of the  kernel wrt X.
kernGradient.m: Compute the gradient of the kernel's parameters.
kernParamInit.m: Kernel parameter initialisation.
kernPriorGradient.m: Compute gradient terms associated with kernel priors.
kernPriorLogProb.m: Compute penalty terms associated with kernel priors.
kernTest.m: Run some tests on the specified kernel.
kernel.m: Initialise a kernel structure.
kernelGradient.m: Gradient of likelihood approximation wrt kernel parameters.
kernelObjective.m: Likelihood approximation.
linKernCompute.m: Compute the kernel given the parameters and X.
linKernDiagCompute.m: Compute diagonal of linear kernel.
linKernDiagGradX.m: Gradient of linear kernel's diagonal with respect to a point x.
linKernDisplay.m: Display parameters of linear kernel.
linKernExpandParam.m: Create kernel structure from linear kernel parameters.
linKernExtractParam.m: Extract parameters from linear kernel structure.
linKernGradX.m: Gradient of linear kernel with respect to a point X.
linKernGradient.m: Gradient of lin kernel's parameters.
linKernParamInit.m: Linear kernel parameter initialisation.
linardKernCompute.m: Compute the linear ARD kernel given the parameters and X.
linardKernDiagCompute.m: Compute diagonal of linear ARD kernel.
linardKernDiagGradX.m: Gradient of linear ARD kernel's diagonal with respect to a point x.
linardKernDisplay.m: Display parameters of linear ARD kernel.
linardKernExpandParam.m: Create kernel structure from linear ARD's parameters.
linardKernExtractParam.m: Extract parameters from linear ARD kernel structure.
linardKernGradX.m: Gradient of linear ARD kernel with respect to a point x.
linardKernGradient.m: Gradient of linear ARD kernel's parameters.
linardKernParamInit.m: linear ARD kernel parameter initialisation.
linearKernParamInit.m: Linear kernel parameter initialisation.
mlpKernCompute.m: Compute the multi-layer perceptron kernel given the parameters and X.
mlpKernDiagCompute.m: Compute diagonal of multi-layer perceptron kernel.
mlpKernDiagGradX.m: Gradient of  multi-layer perceptron kernel's diagonal with respect to a point x.
mlpKernDisplay.m: Display parameters of multi-layer perceptron kernel.
mlpKernExpandParam.m: Create kernel structure from multi-layer perceptron's parameters.
mlpKernExtractParam.m: Extract parameters from multi-layer perceptron kernel structure.
mlpKernGradX.m: Gradient of multi-layer perceptron kernel with respect to a point X.
mlpKernGradient.m: Gradient of multi-layer perceptron kernel's parameters.
mlpKernParamInit.m: multi-layer perceptron kernel parameter initialisation.
mlpardKernCompute.m: Compute the multi-layer perceptron ARD kernel given the parameters and X.
mlpardKernDiagCompute.m: Compute diagonal of multi-layer perceptron ARD kernel.
mlpardKernDiagGradX.m: Gradient of multi-layer perceptron ARD kernel's diagonal with respect to a point x.
mlpardKernDisplay.m: Display parameters of multi-layer perceptron ARD kernel.
mlpardKernExpandParam.m: Create kernel structure from multi-layer perceptron ARD's parameters.
mlpardKernExtractParam.m: Extract parameters from multi-layer perceptron ARD kernel structure.
mlpardKernGradX.m: Gradient of multi-layer perceptron ARD kernel with respect to a point x.
mlpardKernGradient.m: Gradient of multi-layer perceptron ARD kernel's parameters.
mlpardKernParamInit.m: multi-layer perceptron ARD kernel parameter initialisation.
pskernelGradient.m: Gradient on likelihood approximation for point set IVM.
pskernelObjective.m: Likelihood approximation for point set IVM.
rbfKernCompute.m: Compute the kernel given the parameters and X.
rbfKernDiagCompute.m: Compute diagonal of rbf kernel.
rbfKernDiagGradX.m: Gradient of Radial basis function kernel's diagonal with respect to a point x.
rbfKernDisplay.m: Display parameters of radial basis function kernel.
rbfKernExpandParam.m: Create kernel structure from rbf parameters.
rbfKernExtractParam.m: Extract parameters from rbf kernel structure.
rbfKernGradX.m: Gradient of Radial basis function kernel with respect to a point X.
rbfKernGradient.m: Gradient of rbf kernel's parameters.
rbfKernParamInit.m: RBF kernel parameter initialisation.
rbfardKernCompute.m: Compute the radial basis function ARD kernel given the parameters and X.
rbfardKernDiagCompute.m: Compute diagonal of radial basis function ARD kernel.
rbfardKernDiagGradX.m: Gradient of radial basis function ARD kernel's diagonal with respect to a point x.
rbfardKernDisplay.m: Display parameters of radial basis function ARD kernel.
rbfardKernExpandParam.m: Create kernel structure from radial basis function ARD's parameters.
rbfardKernExtractParam.m: Extract parameters from radial basis function ARD kernel structure.
rbfardKernGradX.m: Gradient of radial basis function ARD kernel with respect to a point x.
rbfardKernGradient.m: Gradient of radial basis function ARD kernel's parameters.
rbfardKernParamInit.m: radial basis function ARD kernel parameter initialisation.
sqexpKernCompute.m: Compute the squared exponential kernel given the parameters and X.
sqexpKernDiagCompute.m: Compute diagonal of squared exponential kernel.
sqexpKernDiagGradX.m: Gradient of squared exponential kernel's diagonal with respect to a point x.
sqexpKernDisplay.m: Display parameters of squared exponential kernel.
sqexpKernExpandParam.m: Create kernel structure from squared exponential's parameters.
sqexpKernExtractParam.m: Extract parameters from squared exponential kernel structure.
sqexpKernGradX.m: Gradient of squared exponential kernel with respect to a point X.
sqexpKernGradient.m: Gradient of squared exponential kernel's parameters.
sqexpKernParamInit.m: squared exponential kernel parameter initialisation.
whiteKernCompute.m: Compute the white noise kernel given the parameters and X.
whiteKernDiagCompute.m: Compute diagonal of white noise kernel.
whiteKernDiagGradX.m: Gradient of white noise kernel's diagonal with respect to a point x.
whiteKernDisplay.m: Display parameters of white noise kernel.
whiteKernExpandParam.m: Create kernel structure from white noise's parameters.
whiteKernExtractParam.m: Extract parameters from white noise kernel structure.
whiteKernGradX.m: Gradient of white noise kernel with respect to a point x.
whiteKernGradient.m: Gradient of white noise kernel's parameters.
whiteKernParamInit.m: white noise kernel parameter initialisation.