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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/gauss.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/gauss.htm b/sourcecodes/bnt-master/nethelp3.3/gauss.htm new file mode 100644 index 00000000..4f0f0d88 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/gauss.htm @@ -0,0 +1,43 @@ +<html> +<head> +<title> +Netlab Reference Manual gauss +</title> +</head> +<body> +<H1> gauss +</H1> +<h2> +Purpose +</h2> +Evaluate a Gaussian distribution. + +<p><h2> +Synopsis +</h2> +<PRE> +y = gauss(mu, covar, x) +</PRE> + + +<p><h2> +Description +</h2> + +<p><CODE>y = gauss(mu, covar, x)</CODE> evaluates a multi-variate Gaussian +density in <CODE>d</CODE>-dimensions at a set of points given by the rows +of the matrix <CODE>x</CODE>. The Gaussian density has mean vector <CODE>mu</CODE> +and covariance matrix <CODE>covar</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="gsamp.htm">gsamp</a></CODE>, <CODE><a href="demgauss.htm">demgauss</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 |