about summary refs log tree commit diff
path: root/sourcecodes/bnt-master/docs/Figures/kf_input.fig
diff options
context:
space:
mode:
authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/docs/Figures/kf_input.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
Diffstat (limited to 'sourcecodes/bnt-master/docs/Figures/kf_input.fig')
-rw-r--r--sourcecodes/bnt-master/docs/Figures/kf_input.fig40
1 files changed, 40 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/docs/Figures/kf_input.fig b/sourcecodes/bnt-master/docs/Figures/kf_input.fig
new file mode 100644
index 00000000..e51d73fa
--- /dev/null
+++ b/sourcecodes/bnt-master/docs/Figures/kf_input.fig
@@ -0,0 +1,40 @@
+#FIG 3.2
+Landscape
+Center
+Inches
+Letter  
+100.00
+Single
+-2
+1200 2
+5 1 0 1 0 7 100 0 -1 0.000 0 1 1 0 3131.250 1462.500 1575 450 1275 1425 1575 2475
+	0 0 1.00 60.00 120.00
+5 1 0 1 0 7 100 0 -1 0.000 0 1 1 0 4272.606 1559.043 2775 525 2475 1275 2700 2475
+	0 0 1.00 60.00 120.00
+1 1 0 1 -1 0 0 0 2 0.000 1 0.0000 1875 2550 300 225 1875 2550 2175 2775
+1 1 0 1 -1 0 0 0 2 0.000 1 0.0000 3000 2550 300 225 3000 2550 3300 2775
+1 1 0 1 -1 -1 0 0 -1 0.000 1 0.0000 1875 1425 300 225 1875 1425 2175 1650
+1 1 0 1 -1 -1 0 0 -1 0.000 1 0.0000 3000 1425 300 225 3000 1425 3300 1650
+1 1 0 1 0 0 100 0 2 0.000 1 0.0000 1875 375 300 225 1875 375 2175 600
+1 1 0 1 0 0 100 0 2 0.000 1 0.0000 3000 375 300 225 3000 375 3300 600
+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
+	 1875 1725 1875 2250
+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
+	 3000 1725 3000 2250
+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
+	 2175 1425 2700 1425
+2 1 0 1 0 7 100 0 -1 0.000 0 0 -1 1 0 2
+	0 0 1.00 60.00 120.00
+	 1875 600 1875 1200
+2 1 0 1 0 7 100 0 -1 0.000 0 0 -1 1 0 2
+	0 0 1.00 60.00 120.00
+	 3000 600 3000 1200
+4 0 -1 0 0 0 12 0.0000 4 135 225 1725 1500 X1\001
+4 0 -1 0 0 0 12 0.0000 4 135 225 2850 1500 X2\001
+4 0 -1 0 0 0 12 0.0000 4 135 225 1725 2625 Y1\001
+4 0 -1 0 0 0 12 0.0000 4 135 225 2850 2625 Y2\001
+4 0 0 100 0 0 12 0.0000 4 135 225 1725 450 U1\001
+4 0 0 100 0 0 12 0.0000 4 135 225 2850 450 U2\001