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A probabilistic tri-class Support Vector Machine

Autor
Gonzalez-Abril, L.; Angulo, C.; Velasco, F.; Ortega, J.
Tipus d'activitat
Article en revista
Revista
Journal of pattern recognition research
Data de publicació
2010-07
Volum
5
Número
1
Pàgina inicial
1
Pàgina final
9
DOI
https://doi.org/10.13176/11.237 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/8877 Obrir en finestra nova
URL
http://www.jprr.org/index.php/jprr/article/view/237/54 Obrir en finestra nova
Resum
A probabilistic interpretation for the output obtained from a tri-class Support Vector Machine into a multi-classification problem is presented in this paper. Probabilistic outputs are defined when solving a multi-class problem by using an ensemble architecture with tri-class learning machines working in parallel. This architecture enables the definition of an ‘interpretation’ mapping which works on signed and probabilistic outputs providing more control to the user on the classification pro...
Citació
González, L. [et al.]. A probabilistic tri-class Support Vector Machine. "Journal of pattern recognition research", Juliol 2010, vol. 5, núm. 1, p. 1-9.
Grup de recerca
GREC - Grup de Recerca en Enginyeria del Coneixement
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants

  • Gonzalez Abril, Luis  (autor)
  • Angulo Bahón, Cecilio  (autor)
  • Velasco Morente, Francisco  (autor)
  • Ortega Ramirez, Juan Antonio  (autor)

Arxius