From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001
From: ziejd2
Date: Thu, 28 Sep 2017 15:04:40 -0500
Subject: BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.
I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02
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+
+
+
+Netlab Reference Manual nethess
+
+
+
+ nethess
+
+
+Purpose
+
+Evaluate network Hessian
+
+
+Synopsis
+
+
+h = neterr(w, net, x, t)
+[h, varargout] = neterr(w, net, x, t, varargin)
+
+
+
+
+Description
+
+
+h = nethess(w, net, x, t) takes a weight vector w and a network
+data structure net, together with the matrix x of input
+vectors and the matrix t of target vectors, and returns the
+value of the Hessian evaluated at w.
+
+
[e, varargout] = nethess(w, net, x, t, varargin) also returns any additional
+return values from the network Hessian function, and passes additional arguments
+to that function.
+
+
+Example
+
+
+In evidence, this function is called once to compute the
+data contribution to the Hessian
+
+
+[h, dh] = nethess(w, net, x, t, dh);
+
+
+and again to update the Hessian for new values of the hyper-parameters
+
+
+h = nethess(w, net, x, t, dh);
+
+
+
+
+See Also
+
+neterr, netgrad, netopt
+Pages:
+Index
+
+Copyright (c) Ian T Nabney (1996-9)
+
+
+
+
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