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Netlab Reference Manual errbayes
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<H1> errbayes
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<h2>
Purpose
</h2>
Evaluate Bayesian error function for network.

<p><h2>
Synopsis
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<PRE>
e = errbayes(net, edata)
[e, edata, eprior] = errbayes(net, edata)
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<p><h2>
Description
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<CODE>e = errbayes(net, edata)</CODE> takes a network data structure
<CODE>net</CODE> together
the data contribution to the error for a set of inputs and targets.
It returns the regularised error using any zero mean Gaussian priors
on the weights defined in
<CODE>net</CODE>.

<p><CODE>[e, edata, eprior] = errbayes(net, x, t)</CODE> additionally returns the
data and prior components of the error.

<p><h2>
See Also
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<CODE><a href="glmerr.htm">glmerr</a></CODE>, <CODE><a href="mlperr.htm">mlperr</a></CODE>, <CODE><a href="rbferr.htm">rbferr</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)


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author	wolffd
date	Tue, 10 Feb 2015 15:05:51 +0000
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