Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual hbayes Daniel@0: Daniel@0: Daniel@0: Daniel@0:

hbayes Daniel@0:

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Daniel@0: Purpose Daniel@0:

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

Daniel@0: Synopsis Daniel@0:

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

Daniel@0: Description Daniel@0:

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

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

Daniel@0: See Also Daniel@0:

Daniel@0: gbayes, glmhess, mlphess, rbfhess

Daniel@0: Pages: Daniel@0: Index Daniel@0:

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