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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/demgp.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/demgp.htm b/sourcecodes/bnt-master/nethelp3.3/demgp.htm new file mode 100644 index 00000000..9103bfb8 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demgp.htm @@ -0,0 +1,44 @@ +<html> +<head> +<title> +Netlab Reference Manual demgp +</title> +</head> +<body> +<H1> demgp +</H1> +<h2> +Purpose +</h2> +Demonstrate simple regression using a Gaussian Process. + +<p><h2> +Synopsis +</h2> +<PRE> +demgp</PRE> + + +<p><h2> +Description +</h2> +The problem consists of one input variable <CODE>x</CODE> and one target variable +<CODE>t</CODE>. The values in <CODE>x</CODE> are chosen in two separated clusters and the +target data is generated by computing <CODE>sin(2*pi*x)</CODE> and adding Gaussian +noise. Two Gaussian Processes, each with different covariance functions +are trained by optimising the hyperparameters +using the scaled conjugate gradient algorithm. The final predictions are +plotted together with 2 standard deviation error bars. + +<p><h2> +See Also +</h2> +<CODE><a href="gp.htm">gp</a></CODE>, <CODE><a href="gperr.htm">gperr</a></CODE>, <CODE><a href="gpfwd.htm">gpfwd</a></CODE>, <CODE><a href="gpgrad.htm">gpgrad</a></CODE>, <CODE><a href="gpinit.htm">gpinit</a></CODE>, <CODE><a href="scg.htm">scg</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 |