Guzmán Trampe Juan Evencio
Cruz Cortés Nareli
Título Finding Similarity Functions for Classification with Genetic Programming: Preliminary Results
Tipo Congreso
Sub-tipo Memoria
Descripción EVOLVE 2012
Resumen In this paper we propose a Genetic Programming algorithm designed with a coevolutive scheme for classication problems. Our algorithm searches for similarity functions that are applied to compare pairs of objects from a supervised sample. The output of these functions can be used in similarity-based classiers
Lugar Mexico City
País Mexico
No. de páginas 1-8
Vol. / Cap.
Inicio 2012-08-07
Fin 2012-08-09
ISBN/ISSN 978-2-87971-112-6