: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
Tuning tools attempt to configure a database to achieve optimal performance for a given workload. Selecting an optimal set of physical structures is computationally hard since it ...
Ioannis Alagiannis, Debabrata Dash, Karl Schnaitte...
—The number of CPUs in chip multiprocessors is growing at the Moore’s Law rate, due to continued technology advances. However, new technologies pose serious reliability challen...
—There has recently been a great deal of interest in the development of algorithms that objectively measure the integrity of video signals. Since video signals are being delivere...