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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/netlabKPM/README.txt | |
| 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
Diffstat (limited to 'sourcecodes/bnt-master/netlabKPM/README.txt')
| -rw-r--r-- | sourcecodes/bnt-master/netlabKPM/README.txt | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlabKPM/README.txt b/sourcecodes/bnt-master/netlabKPM/README.txt new file mode 100644 index 00000000..6ac80017 --- /dev/null +++ b/sourcecodes/bnt-master/netlabKPM/README.txt @@ -0,0 +1,10 @@ +This directory contains some small modifications/additions to +netlab, http://www.ncrg.aston.ac.uk/netlab/. + +- gmmem2 allows a prior on the covariance, and lets you visualize +intermediate results of the learning +- gmmem_multi_restart is self-explanatory + +All the _weighted functions were written by Pierpaolo Brutti. +They are needed by BNT (softmax_CPD and mlp_CPD +maximize_params method). |
