wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual hbayes wolffd@0: wolffd@0: wolffd@0: wolffd@0:

hbayes wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Evaluate Hessian of Bayesian error function for network. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

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wolffd@0: h = hbayes(net, hdata)
wolffd@0: [h, hdata] = hbayes(net, hdata)
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wolffd@0: Description wolffd@0:

wolffd@0: h = hbayes(net, hdata) takes a network data structure net together wolffd@0: the data contribution to the Hessian wolffd@0: for a set of inputs and targets. wolffd@0: It returns the regularised Hessian using any zero mean Gaussian priors wolffd@0: on the weights defined in wolffd@0: net. In addition, if a mask is defined in net, then wolffd@0: the entries in h that correspond to weights with a 0 in the wolffd@0: mask are removed. wolffd@0: wolffd@0:

[h, hdata] = hbayes(net, hdata) additionally returns the wolffd@0: data component of the Hessian. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: gbayes, glmhess, mlphess, rbfhess

wolffd@0: Pages: wolffd@0: Index wolffd@0:

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