One of the most important issues to deal with in peerto-peer networks is how to disseminate information. In this paper, we use a completely new approach to solving the information...
Ajoy Kumar Datta, Maria Gradinariu, Michel Raynal,...
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...
—When manufacturing nano-devices, defects are a certainty and reliability becomes a critical issue. Until now, the most pervasive methods used to address reliability, involve inj...
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...