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.

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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