As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...
We propose a radical approach to relational query processing that aims at automatically and consistently achieving a good performance on any memory hierarchy. We believe this auto...
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Construction activities take place in what can be called a dynamic virtual organization (VO). VOs require a secure, reliable, scalable information infrastructure that allows collab...