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Registro bibliográfico en formato APA
Alcaraz-Jiménez, J.-J. (2006). Combinación del
aprendizaje multitarea y del algoritmo EM en problemas de clasificación con
datos incompletos. [Tesis de Licenciatura]. Cartagena, Murcia: Universidad
Politécnica de Cartagena.
Kirlin, R. L., & Reza, A. M. (2013). Maximum entropy
estimation of the probability density function from the histogram using order
statistic constraints. 2013 IEEE International Conference on Acoustics,
Speech and Signal Processing (págs. 6407-6410). Vancouver, BC: IEEE.
doi:10.1109/ICASSP.2013.6638899
Liu, J., Zhu, H.,
Liu, Y., Wu, H., Lan, Y., & Zhang, X. (2019). Anomaly detection for time
series using temporal convolutional networks and Gaussian mixture model. Journal
of Physics: Conference Series. doi:10.1088/1742-6596/1187/4/042111
Liu, T., Zhang,
X., W. K., Chen, W., & Wang, X. (2019). Probabilistic modeling of output
characteristics based on ECM algorithm for wind farms. Journal of Physics:
Conference Series. doi:10.1088/1742-6596/1187/2/022029
Reynolds, D.
(2015). Gaussian Mixture Models. Boston, MA: In: Li S.Z., Jain A.K.
(eds) Encyclopedia of Biometrics. Springer.
Silverman, B. W.
(1998). Density Estimation for Statistics and Data Analysis (1a ed). New York: Routledge.
doi:https://doi.org/10.1201/9781315140919
