Description: Programs to learn a graphical model (Bayesian network or possibilistic network) from a dataset of sample cases, to generate a random dataset from a Bayesian network, to evaluate learned networks w.r.t. a test dataset and a reference network, and to measure the strengths of conditional dependences.
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File list (Check if you may need any files):
src\citrie.c
...\citrie.h
...\condep.c
...\gendb.c
...\gmutil.c
...\gmutil.h
...\gramod.h
...\gramod1.c
...\gramod2.c
...\gramod3.c
...\gramod4.c
...\gramod5.c
...\graph.c
...\graph.h
...\hyper.c
...\hyper.h
...\ines.c
...\ines.mak
...\ines2hugin
...\makefile
...\neval.c
...\ptree.h
...\ptree1.c
...\ptree2.c
...\ptree3.c
...\ptree4.c
...\ptree5.c
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