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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/fa_discrete_single.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 3.2
+Portrait
+Center
+Inches
+Letter  
+100.00
+Single
+-2
+1200 2
+1 1 0 1 0 7 100 0 -1 0.000 1 0.0000 825 375 300 225 825 375 1125 600
+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
+	 825 600 825 1275
+2 2 0 1 0 0 100 0 2 0.000 0 0 7 0 0 5
+	 600 1275 975 1275 975 1725 600 1725 600 1275
+4 0 -1 0 0 0 12 0.0000 4 135 120 750 1575 R\001
+4 0 -1 0 0 0 12 0.0000 4 135 135 750 450 X\001
+4 0 0 100 0 0 12 0.0000 4 180 1785 300 2025 discrete factor analysis\001