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Optimization of neural classifiers based on bayesian decision boundaries and idle neurons pruning
(2002-12-01)
In this article we describe a feature extraction algorithm for pattern classification based on Bayesian Decision Boundaries and Pruning techniques. The proposed method is capable of optimizing MLP neural classifiers by ...
Optimization of neural classifiers based on bayesian decision boundaries and idle neurons pruning
(2002-12-01)
In this article we describe a feature extraction algorithm for pattern classification based on Bayesian Decision Boundaries and Pruning techniques. The proposed method is capable of optimizing MLP neural classifiers by ...
Surveillance of dengue vectors using spatio-temporal Bayesian modeling
(BioMed Central, 2016)
Métodos para la selección de distribuciones a priori utilizando el estimador de James-Stein, planes de muestreo por atributo y modelos logísticos multinivel
(Medellín - Ciencias - Doctorado en Ciencias - EstadísticaEscuela de estadísticaUniversidad Nacional de Colombia - Sede Medellín, 2020-06-23)
Las distribuciones a priori son indispensables en estadística bayesiana para hacer inferencia, porque reflejan el conocimiento previo de un parámetro desconocido; estas distribuciones han sido utilizadas en diferentes áreas ...
Decision Theory for the Variance Ratio in One-Way ANOVA with Random Effects
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística, 2015-01-01)
Estimating a variance component in the model of analysis of variance with random effects and testing the hypothesis that the variance vanishes are important issues in many applications. Such inferences are beyond the confines ...