Neighbours on a Grid

Many studies on ensemble learning that combines multiple classifiers have shown that, it is an effective technique to improve accuracy and stability of a single classifier. In this paper, we propose a novel discriminative classifier fusion method, which ...

Grid computing has made substantial advances during the last decade. A major concern in Grid environments is dealing with the high degree of heterogeneity of resources that can range from laptops and PCs to supercomputers. The unified virtual view of ...

Grid computing technology has become fundamental to e-Science. As the virtual organizations established by scientific communities progress from testing their applications to more routine usage, maintaining reliable and adaptive grid infrastructures ...