Model aggregation methods and applications

Aggregation methods in machine learning models combine several assumptions made on the same dataset in order to obtain a predictive model with higher accuracy. They have been extensively studied and have led to numerous experimental and theoretical works in various contexts: classific...

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Detalles Bibliográficos

Autor Principal:	Bourel, Mathias (author)
Formato:	article
Idioma:	Lingua castelá
Publicado:	2012
Subjects:	Agregación de modelos Boosting Bagging Random Forest Stacking Model Aggregation Boosting; Bagging
Acceso en liña:	http://revistas.um.edu.uy/index.php/ingenieria/article/view/362 https://hdl.handle.net/20.500.12806/2517
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