Efficient and visually compelling reproduction of effects due to multiple scattering in participating media remains one of the most difficult tasks in computer graphics. Althoug...
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Challenging usage policy issues can arise within virtual organizations (VOs) that integrate participants and resources spanning multiple physical institutions. Participants may wi...
Current aspect-oriented programming (AOP) enhances maintainability and comprehensibility by modularizing concerns crosscutting multiple components but lacks the support for the hie...