Propagating multi-observations in directed belief networks

摘要

Deals with the task of propagating new evidence through belief networks. An important feature of these graphical networks is that they implicitly define conditional independence relationships among the variables. The proposed algorithm permits us to directly use conditional belief functions in evidential reasoning systems and allows the propagation of several observations occurring at the same time.