 conditional
distribution of target values given input values, and a simple
Gaussian prior over weights, the Hessian takes the form
<PRE>

    h = beta*hd + alpha*I
</PRE>

where the contribution <CODE>hd</CODE> is evaluated by calls to <CODE>mlphdotv</CODE> and
<CODE>h</CODE> is the full Hessian.

<p><h2>
See Also
</h2>
<CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="hesschek.htm">hesschek</a></CODE>, <CODE><a href="mlphdotv.htm">mlphdotv</a></CODE>, <CODE><a href="evidence.htm">evidence</a></CODE><