From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001 From: ziejd2 Date: Thu, 28 Sep 2017 15:04:40 -0500 Subject: 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 --- sourcecodes/bnt-master/nethelp3.3/demgpard.htm | 48 ++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/demgpard.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/demgpard.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/demgpard.htm b/sourcecodes/bnt-master/nethelp3.3/demgpard.htm new file mode 100644 index 00000000..eb188c19 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demgpard.htm @@ -0,0 +1,48 @@ + + + +Netlab Reference Manual demgpard + + + +

demgpard +

+Purpose +

+Demonstrate ARD using a Gaussian Process. + +

+Synopsis +

+demgpare

+ + +

+Description +

+The data consists of three input variables x1, x2 and +x3, and one target variable +t. The +target data is generated by computing sin(2*pi*x1) and adding Gaussian +noise, x2 is a copy of x1 with a higher level of added +noise, and x3 is sampled randomly from a Gaussian distribution. +A Gaussian Process, is +trained by optimising the hyperparameters +using the scaled conjugate gradient algorithm. The final values of the +hyperparameters show that the model successfully identifies the importance +of each input. + +

+See Also +

+demgp, gp, gperr, gpfwd, gpgrad, gpinit, scg

+Pages: +Index +