Title :
Investigating the influence of RePART in ensemble systems designed by boosting
Author :
Santos, Araken M. ; Canuto, Anne M P
Author_Institution :
Inf. & Appl. Dept., Fed. Univ. of Rio Grande do Norte, Rio Grande
Abstract :
This paper presents an investigation of the influence of the RePART (Reward and Punishment ARTmap) neural network in structures of ensembles designed by three variants of boosting: Aggressive, Conservative and Inverse Boosting. In this investigation, it is aimed to analyze whether the use of this model is positive for ARTMAP-based ensembles. In addition, it aims to define which boosting strategy is the most suitable to be used in ARTMAP-based ensembles.
Keywords :
ART neural nets; decision trees; fuzzy neural nets; pattern classification; support vector machines; Reward and Punishment ARTmap neural network; aggressive boosting; conservative boosting; decision tree; ensemble systems; inverse boosting; k-nearest neighbour; support vector machine; Boosting; Neural networks;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634207
