— The global internet is rich in commodity resources but scarce in specialized resources. We argue that a grid framework can achieve better performance if it separates management...
We study how a server may disseminate a large volume of data to a set of clients in the shortest possible time. We first consider a cooperative scenario where clients are willing...
Recently a bulk of research [14, 5, 15, 9] has been done on the modelling of the smallworld phenomenon, which has been shown to be pervasive in social and nature networks, and eng...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...