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| author | ziejd2 | 2018-03-14 23:23:33 -0500 |
|---|---|---|
| committer | GitHub | 2018-03-14 23:23:33 -0500 |
| commit | 1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch) | |
| tree | e0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/nethelp3.3/demgpot.htm | |
| parent | 6882395afdadf4e982b25b5215071a0932730950 (diff) | |
| parent | c80226899f5cdd9f11c163817d59445213f5bef0 (diff) | |
| download | BNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz | |
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/nethelp3.3/demgpot.htm')
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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 |
