This paper presents an approach for dynamic software reconfiguration in sensor networks. Our approach utilizes explicit models of the design space of the embedded application. The...
The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult ...
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bian...
Ensuring the correctness of computer systems used in lifecritical applications is very difficult. The most commonly used verification methods, simulation and testing, are not exha...
Developing Data Grids has increasingly become a major concern to make Grids attractive for a wide range of data-intensive applications. Storage subsystems are most likely to be a ...