Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
In conventional DHTs, each node is assigned an exclusive slice of identifier space. Simple it is, such arrangement may be rough. In this paper we propose a generic component struc...
Ming Chen, Guangwen Yang, Yongwei Wu, Xuezheng Liu
This paper presents an approach for reducing the test data volume that has to be stored in ATE vector memory for IC manufacturing testing. We exploit the capabilities of present A...
Harald P. E. Vranken, Friedrich Hapke, Soenke Rogg...
The members of electronic communities are often unrelated to each other, they may have never met and have no information on each other's reputation. This kind of information ...
Abstract. A number of techniques are described for solving sparse linear systems on parallel platforms. The general approach used is a domaindecomposition type method in which a pr...