Add to ORKGRESUMEN: En este trabajo, se propone una metodología para la selección automática de los parámetros libres de la técnica de regresión basada en mínimos cuadrados máquinas de vectores de soporte (LS-SVM), a partir de un análisis de validación cruzada generalizada multidimensional sobre el conjunto de ecuaciones lineales de LS-SVM. La técnica desarrollada no requiere de un conocimiento a priori por parte del usuario acerca de la influencia de los parámetros libres en los resultados. Se realizan experimentos sobre dos bases de datos artificiales y dos bases de datos reales. De acuerdo a los resultados obtenidos, se concluye que el algoritmo desarrollado calcula regresiones apropiadas con errores relativos competentes
In this paper, we propose a method to select support vectors to improve the performance of support v...
A common problem in data mining, when statistical regression models are used, is to choose properly...
In this paper, we propose a method to select support vectors to improve the performance of support v...
In this work a new methodology for automatic selection of the free parameters in the Least Squares–S...
While the model parameters of many kernel learning methods are given by the solution of a convex opt...
While the model parameters of many kernel learning methods are given by the solution of a convex opt...
34 p.International audienceFor a support vector machine, model selection consists in selecting the k...
Nonparametric regression is a very popular tool for data analysis because thesetechniques impose few...
La sélection de modèle est un thème majeur de l'apprentissage statistique. Dans ce manuscrit, nous i...
La sélection de modèle est un thème majeur de l'apprentissage statistique. Dans ce manuscrit, nous i...
In this paper, we propose a method to select support vectors to improve the performance of support v...
Among neural models the Support Vector Machine (SVM) solutions are attracting increasing attention, ...
Among neural models the Support Vector Machine (SVM) solutions are attracting increasing attention, ...
Model selection is of major interest in statistical learning. In this document, we introduce model s...
In this paper, we propose a method to select support vectors to improve the performance of support v...
In this paper, we propose a method to select support vectors to improve the performance of support v...
A common problem in data mining, when statistical regression models are used, is to choose properly...
In this paper, we propose a method to select support vectors to improve the performance of support v...
In this work a new methodology for automatic selection of the free parameters in the Least Squares–S...
While the model parameters of many kernel learning methods are given by the solution of a convex opt...
While the model parameters of many kernel learning methods are given by the solution of a convex opt...
34 p.International audienceFor a support vector machine, model selection consists in selecting the k...
Nonparametric regression is a very popular tool for data analysis because thesetechniques impose few...
La sélection de modèle est un thème majeur de l'apprentissage statistique. Dans ce manuscrit, nous i...
La sélection de modèle est un thème majeur de l'apprentissage statistique. Dans ce manuscrit, nous i...
In this paper, we propose a method to select support vectors to improve the performance of support v...
Among neural models the Support Vector Machine (SVM) solutions are attracting increasing attention, ...
Among neural models the Support Vector Machine (SVM) solutions are attracting increasing attention, ...
Model selection is of major interest in statistical learning. In this document, we introduce model s...
In this paper, we propose a method to select support vectors to improve the performance of support v...
In this paper, we propose a method to select support vectors to improve the performance of support v...
A common problem in data mining, when statistical regression models are used, is to choose properly...
In this paper, we propose a method to select support vectors to improve the performance of support v...