An Intelligent Particle Swarm classifier (IPS-classifier) is proposed in this paper. this classifier is described for finding the decision hyperplanes to classify patterns of different classes in the feature space using particle swarm optimization...

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...

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 of classifying complex...

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 a linear classifier...

In this paper, a new method in classifier fusion is introduced for decision making based on internal structure

of base classifiers. Amongst methods used in combining classifiers, there are some methods which

work on decision template...

and classify sequences, especially when the lengths of sequence are long and unequal. Therefore, in order to classify fungal hexosaminidase amino acid sequences and put them in the right taxonomical group we evaluate the feasibility of computational free...

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...

In this paper, we propose a special fusion

method for combining ensembles of base classifiers

utilizing new neural networks in order to improve

overall efficiency of classification. While ensembles are...