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<title>
Netlab Reference Manual hbayes
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<H1> hbayes
</H1>
<h2>
Purpose
</h2>
Evaluate Hessian of Bayesian error function for network.
<p><h2>
Synopsis
</h2>
<PRE>
h = hbayes(net, hdata)
[h, hdata] = hbayes(net, hdata)
</PRE>
<p><h2>
Description
</h2>
<CODE>h = hbayes(net, hdata)</CODE> takes a network data structure <CODE>net</CODE> together
the data contribution to the Hessian
for a set of inputs and targets.
It returns the regularised Hessian using any zero mean Gaussian priors
on the weights defined in
<CODE>net</CODE>. In addition, if a <CODE>mask</CODE> is defined in <CODE>net</CODE>, then
the entries in <CODE>h</CODE> that correspond to weights with a 0 in the
mask are removed.
<p><CODE>[h, hdata] = hbayes(net, hdata)</CODE> additionally returns the
data component of the Hessian.
<p><h2>
See Also
</h2>
<CODE><a href="gbayes.htm">gbayes</a></CODE>, <CODE><a href="glmhess.htm">glmhess</a></CODE>, <CODE><a href="mlphess.htm">mlphess</a></CODE>, <CODE><a href="rbfhess.htm">rbfhess</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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