Model management is an approach to simplify the programming of metadata-intensive applications. It offers developers powerful operators, such as Compose, Diff, and Merge, that are...
Sergey Melnik, Philip A. Bernstein, Alon Y. Halevy...
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...
Abstract—In this paper, we propose a training-based channel estimation scheme for large non-orthogonal space-time block coded (STBC) MIMO systems. The proposed scheme employs a b...
Ahmed Zaki, Saif K. Mohammed, Ananthanarayanan Cho...
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Many techniques for power management employed in advanced RTL synthesis tools rely explicitly or implicitly on observability don’t-care (ODC) conditions. In this paper we presen...