Title :
A comparative analysis of the performance of hybrid and non-hybrid multi-classifier systems
Author :
Canuto, Anne M P ; De Souto, Marcilio C P ; Santos, Araken M. ; Bezerra, Valeria M S ; Mirelli, Sussany
Author_Institution :
Dept. of Informatics & Appl. Math., Fed. Univ. of Rio Grande do Norte, Natal, Brazil
fDate :
31 July-4 Aug. 2005
Abstract :
This paper investigates the performance of some multi-classifier systems, focusing on the benefits that can be gained when integrating different types of classifiers (hybrid multi-classifier systems). An empirical evaluation shows that the integration of different types of classifiers can lead to an improvement in performance in some practical classification tasks.
Keywords :
neural nets; pattern classification; classification task; hybrid multiclassifier system; Character recognition; Data analysis; Electronic mail; Face recognition; Informatics; Mathematics; Neural networks; Pattern recognition; Performance analysis; Statistical analysis;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1556177
