1. Arroyo-Figueroa, G., Sucar, L.E.: A temporal Bayesian network for diagnosis and prediction. In: Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 13–20. Morgan-Kaufmann, San Mateo (1999)
2. Avilés-Arriaga, H.H., Sucar, L.E., Mendoza-Durán, C.E., Pineda-Cortés, L.A.: Comparison of dynamic naive Bayesian classifiers and hidden Markov models for gesture recognition. J. Appl. Res. Technol. 9(1), 81–102 (2011)
3. Cooper, G.F., Herskovitz, E.: A Bayesian method for the induction of probabilistic networks from data. Mach. Learn. 9(4), 309–348 (1992)
4. Friedman, N., Murphy, K., Russell, S.: Learning the structure of dynamic probabilistic networks. In: Proceedings of the 14th Conference on Uncertainty in Artificial (UAI), pp. 139–147. Morgan Kaufmann Publishers Inc. (1998)
5. Galán, S.F., Arroyo-Figueroa, G., Díez, F.J., Sucar, L.E.: Comparison of two types of event Bayesian networks: a case study. Appl. Artif. Intell. 21(3), 185–209 (2007)