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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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<html> <head> <title> Netlab Reference Manual hbayes </title> </head> <body> <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) </body> </html>