We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Listening to music on personal, digital devices while mobile is an enjoyable, everyday activity. We explore a scheme for exploiting this practice to immerse listeners in navigatio...
Nigel Warren, Matt Jones, Steve Jones, David Bainb...
In this paper, we design and evaluate an energy efficient data retrieval architecture for continuous aggregate queries in wireless sensor networks. We show how the modification of...
This paper addresses the problem of extracting coarse-grained parallelism from large sequential code. It builds on BOP, a system for software speculative parallelization. BOP lets...
Recently, privacy preserving data publishing has received a lot of attention in both research and applications. Most of the previous studies, however, focus on static data sets. I...
Bin Zhou 0002, Yi Han, Jian Pei, Bin Jiang, Yufei ...