As a compact representation of joint probability distributions over dependence graph random variables, and tool for modelling reasoning in the presence uncertainty, Bayesian networks are great importance artificial intelligence to combine domain knowledge, capture causal relationships, or learn from incomplete datasets. Known as NP-hard problem classical setting, inference pops up class algorit...
