Computer systems increasingly rely on dynamic, phasebased system management techniques, in which system hardware and software parameters may be altered or tuned at runtime for dif...
Debugging the performance of parallel and distributed systems remains a difficult task despite the widespread use of middleware packages for automatic distribution, communication...
Although information retrieval research has always been concerned with improving the effectiveness of search, in some applications, such as information analysis, a more specific ...
Abstract--We explore the use of end-to-end multicast traffic as measurement probes to infer network-internal characteristics. We have developed in an earlier paper [2] a Maximum Li...
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...