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Springer Nature Switzerland
Reference31 articles.
1. Bouckaert, R.: Bayesian belief networks: from inference to construction. PhD thesis, Faculteit Wiskunde en Informatica, Utrecht University (1995)
2. Chen, X.-W., Anantha, G., Lin, X.: Improving Bayesian network structure learning with mutual information-based node ordering in the K2 algorithm. IEEE Trans. Knowl. Data Eng. 20(5), 628–640 (2008)
3. Cheng, J., Bell, D.A., Liu, W.: Learning belief networks from data: An information theory based approach. In: Proceedings of the Sixth International Conference on Information and Knowledge Management, pp. 325–331. ACM (1997)
4. Chickering, D.M.: Learning Bayesian networks is NP-complete. Learning from data: Artif. Intell. Stat. V 112, 121–130 (1996)
5. Chow, C., Liu, C.: Approximating discrete probability distributions with dependence trees. IEEE Trans. Inf. Theor. 14(3), 462–467 (1968)