The Learning on Causality Diagram Structure
Hongchun Wang · Microelectronics & Computer · 2009
A learning algorithm of constructing the Causality Diagram structure automatically according to a set of data is presented. The algorithm use minimum description length scoring function as evaluate rule. The algorithm does not need any prior hypothesis for the data set,it can learn all kind of Causality Diagram structure,and it can take the consideration of the Causality Diagram structure's accuracy as well as its complexity. Experimental results show the validity and the feasibility of the new algorithm.