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

1 files changed, 104 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/docs/Figures/hmm_zoo_small.fig b/sourcecodes/bnt-master/docs/Figures/hmm_zoo_small.fig
new file mode 100644
index 00000000..1fae5d57
--- /dev/null
+++ b/sourcecodes/bnt-master/docs/Figures/hmm_zoo_small.fig
@@ -0,0 +1,104 @@
+#FIG 3.2
+Landscape
+Center
+Inches
+Letter  
+75.00
+Single
+-2
+1200 2
+5 1 0 2 0 7 50 0 -1 0.000 0 1 1 0 10209.375 1303.125 9000 525 8775 1200 8925 1950
+	0 0 2.00 120.00 240.00
+5 1 0 2 0 7 50 0 -1 0.000 0 1 1 0 9075.000 1200.000 7950 450 7725 1275 7950 1950
+	0 0 2.00 120.00 240.00
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 525 1650 300 225 525 1650 825 1875
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 1590 1654 300 225 1590 1654 1890 1879
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 3375 1800 300 225 3375 1800 3675 2025
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 4427 1882 300 225 4427 1882 4727 2107
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 5925 1800 300 225 5925 1800 6225 2025
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 6975 1800 300 225 6975 1800 7275 2025
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 8173 2107 300 225 8173 2107 8473 2332
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 9225 2100 300 225 9225 2100 9525 2325
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 8250 375 300 225 8250 375 8550 600
+1 1 0 2 0 0 50 0 20 0.000 1 0.0000 9225 375 300 225 9225 375 9525 600
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 1575 1050 1575 1425
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 825 825 1350 825
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 525 1050 525 1425
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 375 600 750 600 750 1050 375 1050 375 600
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 1425 600 1800 600 1800 1050 1425 1050 1425 600
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 3450 600 3450 1575
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 3225 600 2850 825
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 2625 825 3000 825 3000 1275 2625 1275 2625 825
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 3225 150 3600 150 3600 600 3225 600 3225 150
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 3675 375 4200 375
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 3900 825 4275 825 4275 1275 3900 1275 3900 825
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 4200 1275 4350 1650
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 4500 600 4500 1650
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 4275 150 4650 150 4650 600 4275 600 4275 150
+2 1 0 2 0 7 50 0 -1 0.000 0 0 -1 1 0 2
+	0 0 2.00 120.00 240.00
+	 4275 600 3975 825
+2 1 0 2 0 7 50 0 -1 0.000 0 0 -1 1 0 2
+	0 0 2.00 120.00 240.00
+	 2925 1275 3225 1575
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 8175 675 8175 1050
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 9225 675 9225 1050
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 9225 1500 9225 1875
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 8475 1275 9000 1275
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 8175 1500 8175 1875
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 8025 1050 8400 1050 8400 1500 8025 1500 8025 1050
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 9075 1050 9450 1050 9450 1500 9075 1500 9075 1050
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 5925 1200 5925 1575
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 6225 975 6750 975
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 6225 1800 6675 1800
+2 1 0 2 0 7 50 0 -1 0.000 0 0 7 1 0 2
+	0 0 2.00 120.00 240.00
+	 6975 1200 6975 1575
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 6825 750 7200 750 7200 1200 6825 1200 6825 750
+2 2 0 2 0 7 50 0 -1 0.000 0 0 7 0 0 5
+	 5775 750 6150 750 6150 1200 5775 1200 5775 750
+4 0 0 50 0 0 24 0.0000 4 255 945 375 2400 HMM\001
+4 0 0 50 0 0 24 0.0000 4 255 2580 2625 2475 MixGauss HMM\001
+4 0 0 50 0 0 24 0.0000 4 255 1470 8025 2700 IO-HMM\001
+4 0 0 50 0 0 24 0.0000 4 255 1575 5625 2475 AR-HMM\001