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Clasificadores por redes bayesianas
(2005)
A Bayesian network is a compact representation of joint probability function. Formally, a Bayesian network is an acyclic directed graph in which each node represents a random variable and the relationships of dependence ...
Matrices de covarianza estructuradas en modelos con medidas repetidas
(2005)
Many experiments in plants and animals, clinical trials and economic studies, have in common recording several measurements through time on the same experimental unit. These experiments use the mixed linear models with ...
Regresión logística con penalidad ridge aplicada a datos de expresión genética
(2005)
Logistic regression analysis is used in classification to find out which group an individual belong from a predictor variables set. In classification sometimes we work with data sets with more variables than observations. ...
Comparación de los métodos de imputación con respecto al poder de separación del modelo de regresión logística
(2005)
An MCAR (Missing Completely at Random) mechanism was used with dif- ferent missing data proportions in order to generate iteratively missing values in some data sets obtained from the Machine Learning Database Repository ...
Componentes principales supervisados para clasificación de datos de expresión genética
(2005)
The gene expression data obtained through the technology of microarrays are characterized by its considerably greater amount of features in comparison to the number of observations. The direct use of traditional statistics ...