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authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/docs/Figures/mixexp.fig
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-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
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+#FIG 3.1
+Landscape
+Center
+Inches
+1200 2
+6 525 300 1575 2925
+5 1 0 1 -1 7 0 0 -1 0.000 0 1 1 0 2055.000 1650.000 975 675 600 1650 975 2625
+	0 0 1.00 60.00 120.00
+1 1 0 1 -1 0 0 0 2 0.000 1 0.0000 1275 525 300 225 1275 525 1575 750
+1 1 0 1 -1 -1 0 0 -1 0.000 1 0.0000 1275 2700 300 225 1275 2700 1575 2925
+2 2 0 1 -1 7 0 0 -1 0.000 0 0 -1 0 0 5
+	 1050 1350 1425 1350 1425 1800 1050 1800 1050 1350
+2 1 0 1 -1 7 0 0 -1 0.000 0 0 -1 1 0 2
+	0 0 1.00 60.00 120.00
+	 1275 825 1275 1350
+2 1 0 1 -1 7 0 0 -1 0.000 0 0 -1 1 0 2
+	0 0 1.00 60.00 120.00
+	 1275 1800 1275 2475
+-6
+4 0 -1 0 0 0 12 0.0000 4 180 1425 450 3300 Mixture of Experts\001
+4 0 -1 0 0 0 12 0.0000 4 135 120 1200 600 X\001
+4 0 -1 0 0 0 12 0.0000 4 165 135 1125 1650 Q\001
+4 0 -1 0 0 0 12 0.0000 4 135 135 1200 2775 Y\001