We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
— As the popularity of resource-constrained devices such as hand-held computers increases, a new network service offloading complex processing tasks towards computational resour...
Tim Stevens, Marc De Leenheer, Filip De Turck, Bar...
Grid computing is becoming an important framework for enabling applications to utilize widely distributed collections of computational and data resources, however current grid sof...
Paul D. Coddington, Lici Lu, Darren Webb, Andrew L...
Considerable research has focused on the problem of scheduling dynamically arriving independent parallel jobs on a given set of resources. There has also been some recent work in ...
Mohammad Islam, Pavan Balaji, P. Sadayappan, Dhaba...