Abstract
Multiple classifier combination methods have been demonstrated to be effective, under some conditions, for several pattern recognition applications. These methods are often used to improve performance of instable or weak classifiers. The studies in this field do not, in general, address aspects related to the speed of the methods. In applications with large data sets the sampling is a cha…