Experiments with trained and untrained fusers

Abstract

The Multiple Classifier Systems are nowadays one of the most promising directions in pattern recognition. There are many methods of decision making by the ensemble of classifiers. The most popular are methods that have their origin in vote method, where the decision of the common classifier is a combination of individual classifiers decisions. This work presents method of weighted classifiers combination and experimental results of proposed algorithm. © 2007 Springer-Verlag Berlin Heidelberg.