A theoretical and practical framework for assessing the computational behavior of typical testor-finding algorithms

Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderon

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

Although the general relevance of Testor Theory as the theoretical ground for useful feature selection procedures is well known, there are no practical means, nor any standard methodologies, for assessing the behavior of a testor-finding algorithm when faced with specific circumstances. In this work, we present a practical framework, with proven theoretical foundation, for assessing the behavior of both deterministic and meta-heuristic testor-finding algorithms when faced with specific phenomena.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings
Páginas351-358
Número de páginas8
EdiciónPART 1
DOI
EstadoPublicada - 2013
Evento18th Iberoamerican Congress on Pattern Recognition, CIARP 2013 - Havana, Cuba
Duración: 20 nov. 201323 nov. 2013

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen8258 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia18th Iberoamerican Congress on Pattern Recognition, CIARP 2013
País/TerritorioCuba
CiudadHavana
Período20/11/1323/11/13

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