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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
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| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/demard.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/demard.htm b/sourcecodes/bnt-master/nethelp3.3/demard.htm new file mode 100644 index 00000000..43923377 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demard.htm @@ -0,0 +1,51 @@ +<html> +<head> +<title> +Netlab Reference Manual demard +</title> +</head> +<body> +<H1> demard +</H1> +<h2> +Purpose +</h2> +Automatic relevance determination using the MLP. + +<p><h2> +Synopsis +</h2> +<PRE> +demmlp1</PRE> + + +<p><h2> +Description +</h2> +This script demonstrates the technique of automatic relevance +determination (ARD) using a synthetic problem having three input +variables: <CODE>x1</CODE> is sampled uniformly from the range (0,1) and has +a low level of added Gaussian noise, <CODE>x2</CODE> is a copy of <CODE>x1</CODE> +with a higher level of added noise, and <CODE>x3</CODE> is sampled randomly +from a Gaussian distribution. The single target variable is determined +by <CODE>sin(2*pi*x1)</CODE> with additive Gaussian noise. Thus <CODE>x1</CODE> is +very relevant for determining the target value, <CODE>x2</CODE> is of some +relevance, while <CODE>x3</CODE> is irrelevant. The prior over weights is +given by the ARD Gaussian prior with a separate hyper-parameter for +the group of weights associated with each input. A multi-layer +perceptron is trained on this data, with re-estimation of the +hyper-parameters using <CODE>evidence</CODE>. The final values for the +hyper-parameters reflect the relative importance of the three inputs. + +<p><h2> +See Also +</h2> +<CODE><a href="demmlp1.htm">demmlp1</a></CODE>, <CODE><a href="demev1.htm">demev1</a></CODE>, <CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="evidence.htm">evidence</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 |