Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
We consider clustering as computation of a structure of proximity relationships within a data set in a feature space or its subspaces. We propose a data structure to represent suc...
An important system design task is the partitioning of system functionality for implementation among multiple system components, including partitions among hardware and software c...
We discuss design issues related to the transformation of a mature Agent-Based Model (ABM) for computational epidemiology into a “grid-aware” version. EpiSims is a distributed...
Cross-domain learning methods have shown promising
results by leveraging labeled patterns from auxiliary domains
to learn a robust classifier for target domain, which
has a limi...
Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...