Abstract
This paper presents a classification algorithm based on Sup-port Vector Machines classifiers combined with Boosting techniques. This classifier presents a better performance in training time, a similar gener-alization and a similar model complexity but the model representation is more compact.
Cite
CITATION STYLE
APA
García Díaz, E. E., & Lozano Martínez, F. (2006). Boosting Support Vector Machines. Revista de Ingeniería, (24), 62–70. https://doi.org/10.16924/revinge.24.8
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