Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual errbayes Daniel@0: Daniel@0: Daniel@0: Daniel@0:

errbayes Daniel@0:

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Daniel@0: Purpose Daniel@0:

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

Daniel@0: Synopsis Daniel@0:

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

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

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

Daniel@0: See Also Daniel@0:

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