'top50 & reg' 'Block-Prior' Freqency Show

Best Case: mu = 0.5 (PDF)

Data: vsn-normalization.xls 'Control' Data

Setting:
murange = [0 .1 .5 1 2 4 8 12 16 32 64 100]; Download all figures while mu varies
10 seeds for vbssm model training

X-label: true arc index
Y-label: frequency of the arc recovered in 10 seeds training

Notes:
1) These figures indicate mu=0.5 are optimal
2) tdcA-arcs are more easily recovered then tdcR-arcs

*The frequency analysis is *AGREE with the previous average analysis.