Mostrando 5 resultados de: 5
Filtros aplicados
Área temáticas
Ciencias de la computación(2)
Física aplicada(2)
Métodos informáticos especiales(2)
Funcionamiento de bibliotecas y archivos(1)
Probabilidades y matemática aplicada(1)
Área de conocimiento
Aprendizaje automático(2)
Algoritmo(1)
Estadísticas(1)
Inferencia estadística(1)
Modelo estadístico(1)
Origen
scopus(5)
EM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models
Conference ObjectAbstract: In this paper we address the problem of identifying a static errors-in-variables system. Our proposaPalabras claves:Errors-in-Variables, Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Cedeno A.L., Juan C. Agüero, Orellana R.Fuentes:scopusOn the end-performance metric estimator selection
ArticleAbstract: It is well known that appropriately biasing an estimator can potentially lead to a lower mean squarePalabras claves:Bias selection, End-performance metric, Estimation, Least squares, Maximum likelihoodAutores:Beck C.L., Godoy B.I., Juan C. Agüero, Katselis D., Rojas C.R.Fuentes:scopusMaximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures<sup>⁎</sup>
Conference ObjectAbstract: In this paper we develop a Maximum Likelihood estimation algorithm for the estimation of infinite miPalabras claves:Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Juan C. Agüero, Orellana R.Fuentes:scopusModel error modelling using a stochastic embedding approach with gaussian mixture models for FIR systems
Conference ObjectAbstract: In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochasticPalabras claves:Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, Model errors, Stochastic embeddingAutores:Carvajal R., Goodwin G.C., Juan C. Agüero, Orellana R.Fuentes:scopusVariance or spectral density in sampled data filtering?
Conference ObjectAbstract: Most physical systems operate in continuous time. However, to interact with such systems one needs tPalabras claves:Estimation, Kalman filter, Sampled dataAutores:Goodwin G.C., Juan C. Agüero, Salgado M.E., Yuz J.I.Fuentes:scopus