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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/gpcovarf.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/gpcovarf.htm b/sourcecodes/bnt-master/nethelp3.3/gpcovarf.htm new file mode 100644 index 00000000..5bce6b98 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/gpcovarf.htm @@ -0,0 +1,44 @@ +<html> +<head> +<title> +Netlab Reference Manual gpcovarf +</title> +</head> +<body> +<H1> gpcovarf +</H1> +<h2> +Purpose +</h2> +Calculate the covariance function for a Gaussian Process. + +<p><h2> +Synopsis +</h2> +<PRE> +covf = gpcovarf(net, x1, x2) +</PRE> + + +<p><h2> +Description +</h2> + +<p><CODE>covf = gpcovarf(net, x1, x2)</CODE> takes +a Gaussian Process data structure <CODE>net</CODE> together with +two matrices <CODE>x1</CODE> and <CODE>x2</CODE> of input vectors, +and computes the matrix of the covariance function values +<CODE>covf</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="gp.htm">gp</a></CODE>, <CODE><a href="gpcovar.htm">gpcovar</a></CODE>, <CODE><a href="gpcovarp.htm">gpcovarp</a></CODE>, <CODE><a href="gperr.htm">gperr</a></CODE>, <CODE><a href="gpgrad.htm">gpgrad</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 |