Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
The simultaneous use of multiple aspect languages has the potential of becoming a significant one, as new aspectoriented frameworks are developed and existing ones expand to incor...
Operators for delimiting control and for capturing composable continuations litter the landscape of theoretical programming language research. Numerous papers explain their advant...
Matthew Flatt, Gang Yu, Robert Bruce Findler, Matt...
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
Abstract— Recent research has shown that forwarding speculative data to other processors before it is requested can improve the performance of multiprocessor systems. The most re...