Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
The increasing performance gap between processors and memory will force future architectures to devote significant resources towards removing and hiding memory latency. The two ma...
Abstract. Location-based Services are emerging as popular applications in pervasive computing. Spatial k-anonymity is used in Locationbased Services to protect privacy, by hiding t...
Abstract. Algorithmic skeletons correspond to a high-level programming model that takes advantage of nestable programming patterns to hide the complexity of parallel/distributed ap...
We present the architecture of nreduce, a distributed virtual machine which uses parallel graph reduction to run programs across a set of computers. It executes code written in a ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...