Study on Learning Algorithms of Causality Diagram Structure
Qin Zhang · Microelectronics & Computer · 2006
The Causality Diagram theory, which adopted graphical expression of knowledge and direct causality intensity of causality, overcomes some shortages in Belief Network and has evolved into a mixed causality diagram methodology coped with discrete and continuous variable. But it is difficult that the structure of Causality Diagram given by expert. In this paper, we discuss approaches to find the most possible structure from a set of data, and evaluate the model using the heuristic method.