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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/gmmunpak.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/gmmunpak.htm b/sourcecodes/bnt-master/nethelp3.3/gmmunpak.htm new file mode 100644 index 00000000..2287fb3b --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/gmmunpak.htm @@ -0,0 +1,45 @@ +<html> +<head> +<title> +Netlab Reference Manual gmmunpak +</title> +</head> +<body> +<H1> gmmunpak +</H1> +<h2> +Purpose +</h2> +Separates a vector of Gaussian mixture model parameters into its components. + +<p><h2> +Synopsis +</h2> +<PRE> +mix = gmmunpak(mix, p) +</PRE> + + +<p><h2> +Description +</h2> +<CODE>mix = gmmunpak(mix, p)</CODE> +takes a GMM data structure <CODE>mix</CODE> and +a single row vector of parameters <CODE>p</CODE> and returns a mixture data structure +identical to the input <CODE>mix</CODE>, except that the mixing coefficients +<CODE>priors</CODE>, centres <CODE>centres</CODE> and covariances <CODE>covars</CODE> +(and, for PPCA, the lambdas and U (PCA sub-spaces)) are all set +to the corresponding elements of <CODE>p</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmpak.htm">gmmpak</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 |