4FAYYAD U, PIATETSKY-SHAPIRO G, SMYTH P. Knowledge dis- covery and data mining: towards a unifying framework [ C ]//Proc of the 2nd lntenlational Conference on Knowledge Discovery & Data Mining. 1996:82-88.
5PEARL J. Fusion, propagation, and structuring in belief networks [ J ]. Artificial intelligence, 1986,29 ( 3 ) :241 - 288.
6LAURITZEN S L, SPIEGELHALTER D J. Local computations with probabilities on graphical struetures and their application to expert systems [ J ]. Journal of the Royal Statistical Society Series B, 1988,50( 1570 ) : 157-224.
7BROOM B M, DO K A, SUBRAMANIAN D. Model averaging strate- gies for structure learning in Bayesian networks with limited data[ J ]. BMC Bioinformatics,2012,13( S13 ) :10.
8HUANG Shuai, LI Jing, YE Jie-ping, et al. A sparse structure learn- ing algorithm for Ganssian Bayesian network identification from high- dimensional data[ J]. IEEE Trans on Pattern Analysis and Ma- chine Intelligence,2013,35 (6) : 1328-1342.
9CHICKERING D M, GEIGER D, HECKERMAN D. Learning Baye- sian networks is NP-hard, Technical Report MSR-TR- 94- 17 [ R ]. 1994.
10ROBINSON R W. Counting unlabeled acyclic digraphs[ C]//Combi- natorial Mathematics V. Berlin:Springer, 1977:28-43.