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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/demgpot.htm | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
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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diff --git a/sourcecodes/bnt-master/nethelp3.3/demgpot.htm b/sourcecodes/bnt-master/nethelp3.3/demgpot.htm new file mode 100644 index 00000000..368f222e --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demgpot.htm @@ -0,0 +1,44 @@ +<html> +<head> +<title> +Netlab Reference Manual demgpot +</title> +</head> +<body> +<H1> demgpot +</H1> +<h2> +Purpose +</h2> +Computes the gradient of the negative log likelihood for a mixture model. + +<p><h2> +Synopsis +</h2> +<PRE> +g = demgpot(x, mix)</PRE> + + +<p><h2> +Description +</h2> +This function computes the gradient of the negative log of the unconditional data +density <CODE>p(x)</CODE> with respect to the coefficients of the +data vector <CODE>x</CODE> for a Gaussian mixture model. The data structure +<CODE>mix</CODE> defines the mixture model, while the matrix <CODE>x</CODE> contains +the data vector as a row vector. Note the unusual order of the arguments: +this is so that the function can be used in <CODE>demhmc1</CODE> directly for +sampling from the distribution <CODE>p(x)</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="demhmc1.htm">demhmc1</a></CODE>, <CODE><a href="demmet1.htm">demmet1</a></CODE>, <CODE><a href="dempot.htm">dempot</a></CODE><hr> +<b>Pages:</b> +<a href="index.htm">Index</a> +<hr> +<p>Copyright (c) Ian T Nabney (1996-9) + + +</body> +</html> \ No newline at end of file |