dc.contributor
Universitat de Lleida. Escola Politècnica Superior
dc.contributor
Badia, Ferran
dc.contributor
Marchiori, Elena
dc.contributor.author
Armengol Garganté, Ramon
dc.date.accessioned
2024-12-05T23:06:21Z
dc.date.available
2024-12-05T23:06:21Z
dc.date.issued
2007-11-02T09:07:57Z
dc.date.issued
2012-07-17T07:50:53Z
dc.date.issued
2007-11-02T09:07:57Z
dc.date.issued
2012-07-17T07:50:53Z
dc.date.issued
2007-11-02T09:07:57Z
dc.identifier
http://hdl.handle.net/10459.1/45721
dc.identifier.uri
http://hdl.handle.net/10459.1/45721
dc.description.abstract
We are going to implement the "GA-SEFS" by Tsymbal and analyse experimentally its performance depending on the classifier algorithms used in the fitness function (NB, MNge, SMO). We are also going to study the effect of adding to the fitness function a measure to control complexity of the base classifiers.
dc.format
application/pdf
dc.rights
Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i l'escola i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (<a href="http://creativecommons.org/licenses/by-nc-nd/2.5/es/">http://creativecommons.org/licenses/by-nc-nd/2.5/es/</a>)
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Algorismes genètics
dc.title
A genetic algorithm to ensemble feature selection
dc.type
info:eu-repo/semantics/article
