A comparative analysis of the performnance of hybrid and non-hybrid multi-classifier systems
Anne M. P. Canuto, Marcílio C. P. de Souto, Alusk Maciel Santos, Valéria Maria S. Bezerra, S. Mirelli · Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. · 2006
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.