Simple classifiers have the advantage of more generalization capability with the side effect of less power. It would be a good idea if we could build a classifier which is as simple as possible while giving it the ability ...

Linear classifiers have the generalization property while lacking the power of classifying complex patterns. A simple and effective idea is to somehow exclude the complexity of the data such that it can be classified using ...

This article presents a new method to construct multiple classifier system by

making diverse base classifiers using weight tuning. In the method presented, base classifiers

are multilayer perceptions which creates diverse base...

In this paper, a new method is introduced to construct Multiple Classifier Systems (MCSs). It is based on controlling diversity among base classifiers according to a new method in measuring diversity in kernel space. The method admits a tradeoff...