摘要: • If a blanket assumption of conditional independence is made, efficient training and inference is possible, but such a strong assumption is rarely warranted.• Graphical models use directed or undirected graphs over a set of random variables to explicitly specify variable dependencies and allow for less restrictive independence assumptions while limiting the number of parameters that must be estimated.