A Probabilistic Tri-Class Support Vector Machine
A Probabilistic Tri-Class Support Vector Machine
Luis Gonzalez-Abril, Cecilio Angulo, Francisco Velasco, Juan Antonio Ortega
JPRR Vol 5, No 1 (2010); doi:10.13176/11.237 
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Luis Gonzalez-Abril, Cecilio Angulo, Francisco Velasco, Juan Antonio Ortega
Abstract
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 onthe classification problem.
JPRR Vol 5, No 1 (2010); doi:10.13176/11.237 | Full Text  | Share this paper: