diff options
| author | ziejd2 | 2018-03-14 23:23:33 -0500 |
|---|---|---|
| committer | GitHub | 2018-03-14 23:23:33 -0500 |
| commit | 1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch) | |
| tree | e0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/nethelp3.3/demard.htm | |
| parent | 6882395afdadf4e982b25b5215071a0932730950 (diff) | |
| parent | c80226899f5cdd9f11c163817d59445213f5bef0 (diff) | |
| download | BNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz | |
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/nethelp3.3/demard.htm')
| -rw-r--r-- | sourcecodes/bnt-master/nethelp3.3/demard.htm | 51 |
1 files changed, 51 insertions, 0 deletions
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 |