Author:
Arias Jacinto,Gámez José A.,Nielsen Thomas D.,Puerta José M.
Publisher
Springer International Publishing
Reference27 articles.
1. Antonucci, A., Corani, G., Mauá, D., Gabaglio, S.: An ensemble of Bayesian networks for multilabel classification. In: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI 2013, pp. 1220–1225. AAAI Press (2013)
2. Bielza, C., Li, G., Larrañaga, P.: Multi-dimensional classification with Bayesian networks. International Journal of Approximate Reasoning 52(6), 705–727 (2011)
3. Borchani, H., Bielza, C., Martínez-Martín, P., Larrañaga, P.: Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the european quality of life-5 dimensions (EQ-5D) from the 39-item Parkinson’s disease questionnaire (PDQ-39). Journal of Biomedical Informatics 45(6), 1175–1184 (2012)
4. Borchani, H., Bielza, C., Toro, C., Larrañaga, P.: Predicting human immunodeficiency virus inhibitors using multi-dimensional bayesian network classifiers. Artificial Intelligence in Medicine 57(3), 219–229 (2013)
5. Chow, C.K., Liu, C.: Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory 14, 462–467 (1968)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献