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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/docs/Figures/hme.fig | |
| 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/docs/Figures/hme.fig')
| -rw-r--r-- | sourcecodes/bnt-master/docs/Figures/hme.fig | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/docs/Figures/hme.fig b/sourcecodes/bnt-master/docs/Figures/hme.fig new file mode 100644 index 00000000..dffda256 --- /dev/null +++ b/sourcecodes/bnt-master/docs/Figures/hme.fig @@ -0,0 +1,35 @@ +#FIG 3.1 +Landscape +Center +Inches +1200 2 +6 225 150 2625 3825 +6 300 150 1800 3450 +5 1 0 1 -1 -1 0 0 -1 0.000 0 1 1 0 2212.500 2250.000 825 1425 600 2325 825 3075 + 0 0 1.00 60.00 120.00 +5 1 0 1 -1 -1 0 0 -1 0.000 0 1 1 0 3083.468 1905.242 750 525 375 2025 675 3150 + 0 0 1.00 60.00 120.00 +5 1 0 1 -1 -1 0 0 -1 0.000 0 0 1 0 679.747 1409.810 1200 450 1725 1725 1275 2325 + 0 0 1.00 60.00 120.00 +1 1 0 1 -1 0 0 0 2 0.000 1 0.0000 975 375 300 225 975 375 1275 600 +1 1 0 1 -1 -1 0 0 -1 0.000 1 0.0000 1050 3225 300 225 1050 3225 1350 3450 +2 2 0 1 -1 7 0 0 -1 0.000 0 0 -1 0 0 5 + 825 1050 1200 1050 1200 1500 825 1500 825 1050 +2 2 0 1 -1 7 0 0 -1 0.000 0 0 -1 0 0 5 + 825 2100 1200 2100 1200 2550 825 2550 825 2100 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 1050 600 1050 1050 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 1050 1575 1050 2100 +2 1 0 1 -1 -1 0 0 -1 0.000 0 0 -1 1 0 2 + 0 0 1.00 60.00 120.00 + 1050 2625 1050 3000 +-6 +4 0 -1 0 0 0 12 0.0000 4 180 2370 225 3750 Hierarchical Mixture of Experts\001 +4 0 -1 0 0 0 12 0.0000 4 135 120 825 450 X\001 +4 0 -1 0 0 0 12 0.0000 4 165 225 900 1350 Q1\001 +4 0 -1 0 0 0 12 0.0000 4 165 225 900 2400 Q2\001 +4 0 -1 0 0 0 12 0.0000 4 135 135 900 3300 Y\001 +-6 |