In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
Abstract. Recent advances in processor technology such as Simultaneous Multithreading (SMT) and Chip Multiprocessing (CMP) enable parallel processing on a single die. These process...
Scott Schneider, Christos D. Antonopoulos, Dimitri...
Grid computing is about allocating distributed collections of resources including computers, storage systems, networks and instruments to form a coherent system devoted to a “vir...
Dennis Gannon, Beth Plale, Marcus Christie, Liang ...