Sun Y, Tang Y Y, Ding S X, Lv S P, Cui Y F. Diagnose the mild cognitive impairment by constructing Bayesian network with missing data[J]. Expert Systems with Applications, 2011, 38(1): 442-449.
[2]
Ben-Gal I, Shani A, Gohr A, Grau J, Arviv S, Shmilovici A, Posch S, Grosse I. Identification of transcription factor binding sites with variable-order Bayesian networks[J]. Bioinformatics, 2005, 21(11): 2657-2666.
[3]
Bouchaala L, Masmoudi A, Gargouri F, Rebai A. Improving algorithms for structure learning in Bayesian Networks using a new implicit score[J]. Expert Systems with Applications, 2010, 37(7): 5470-5475.
[4]
Perrier E, Imoto S, Miyano S. Finding Optimal Bayesian Network Given a Super-Structure[J]. Journal of Machine Learning Research, 2008, 9(2): 2251-2286.
[5]
Pellet J P, Elisseef A. Using Markov Blankets for Causal Structure learning[J]. Journal of Machine Learning Research, 2008, 9(2): 1295-1342.
[6]
Heckerman D, Geiger D, Chickering D M. Learning Bayesian networks: The combination of knowledge and statistical data[J]. Machine Learning, 1995, 20(3): 197-243.
[7]
Schwarz G. Estimating the dimension of a model[J]. Annals of Statistics, 1978, 6(2): 461-464.
[8]
1995: 87-98.
[9]
Olesen K, Madsen A. Maximal prime subgraph decomposition of Bayesian networks[J]. IEEE Trans Syst Man Cybern B, 2002, 32(1): 21-31.
[10]
Lauritzen S L, Graphical Models[M]. Oxford: Clarendon Press, 1996.
[11]
Kullback S. Information Theory and Statistics[M]. Dover Publication, 1968.
[12]
Beinlich I, Suermondt G, Chavez R, Cooper G. The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks[C]. Proc. of Second European Conference on Artificial Intelligence in Medicine. London, UK, 1989: 247-256.
[13]
Cai Z Q, Sun S D, Si S B, Yannou B. Identifying product failure rate based on a conditional Bayesian network classifier[J]. Expert Systems with Applications, 2011, 38(5): 5036-5043.
[14]
Hsieh N C, Hung L P. A data driven ensemble classifier for credit scoring analysis[J]. Expert Systems with Applications, 2011, 37(1): 534-545.
[15]
Aquaroa V, Bardoscia M, Bellotti R, Consiglio A, Carlo F D, Ferri G. A Bayesian Networks approach to Operational Risk[J]. Physica A, 2010, 389(8): 1721-1728.
[16]
Borgelt C. A conditional independence algorithm for learning undirected graphical models[J]. Journal of Computer and System Sciences, 2010, 76(1): 21-33.
[17]
Ji J Z, Zhang H X, Hu R B, Liu C N. A Bayesian Network Learning Algorithm Based on Independence Test and Ant Colony Optimization[J]. Acta Automatica Sinica, 2009, 35(3): 281-288.
[18]
Pena J M, Nilsson R, Bjorkegren J, Tegner J. Towards scalable and data efficient learning of Markov boundaries[J]. International Journal of Approximate Reasoning, 2007, 45(2): 211-232.
[19]
Akaike H. A new look at the statistical model identification[J]. IEEE Transactions on Automatic Control, 1974, 19(6): 716-723.
[20]
Chickering D M. A transformational characterization of Bayesian network structures[C]. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann,
[21]
Verma T, Pearl J. Equivalence and synthesis of causal models[C]. Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence. New York: USA Elsevier Science Inc, 1990: 255-270.
[22]
Chickering D M. Learning equivalence classes of Bayesian-network structures[J]. Journal of Machine Learning Research, 2002, 2(1): 445-498.
[23]
Sprites P, Glymour C, Scheines R. Causation, Prediction and Search(second edition)[M]. The MIT Press, 2000.
[24]
Cheng J, Greiner R, Kelly J, Bell D, Liu W. Learning Bayesian networks from data: an information theory based approach[J]. Artificial Intelligence, 2002, 137(1-2): 43-90.