wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual errbayes wolffd@0: wolffd@0: wolffd@0: wolffd@0:

errbayes wolffd@0:

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wolffd@0: Purpose wolffd@0:

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

wolffd@0: Synopsis wolffd@0:

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wolffd@0: e = errbayes(net, edata)
wolffd@0: [e, edata, eprior] = errbayes(net, edata)
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wolffd@0: Description wolffd@0:

wolffd@0: e = errbayes(net, edata) takes a network data structure wolffd@0: net together wolffd@0: the data contribution to the error for a set of inputs and targets. wolffd@0: It returns the regularised error using any zero mean Gaussian priors wolffd@0: on the weights defined in wolffd@0: net. wolffd@0: wolffd@0:

[e, edata, eprior] = errbayes(net, x, t) additionally returns the wolffd@0: data and prior components of the error. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: glmerr, mlperr, rbferr
wolffd@0: Pages: wolffd@0: Index wolffd@0:
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Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: