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 ...

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 ...

In this paper we propose to combine two clustering

approaches, namely fuzzy and possibilistic c-means. While

fuzzy c-means algorithm finds suitable clusters for groups of

data points, obtained memberships ...

دراین مقاله ساختاری جدید برای آرایه DT همراه با روشی جدید برای تلفیق طبقه بندها ارایه شده است این روش جدید توسعه ای است برای روش استاندارد DT برمبنای طبقه بندی های یک کلاسه SVDD. با توجه به قابلیتهای بالای SVDD برای مدلسازی ...

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 ...

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 ...

Abstract—This paper discusses some of the salient issues involved in implementing the illusion of a shared-memory programming model across a group of distributed memory processors from a cluster through to an entire GRID. ...