In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
—This paper proposes a novel approach to the exact symbolic analysis of very large analog circuits. The new method is based on determinant decision diagrams (DDDs) representing s...
Internet distance prediction gives pair-wise latency information with limited measurements. Recent studies have revealed that the quality of existing prediction mechanisms from th...
Rongmei Zhang, Y. Charlie Hu, Xiaojun Lin, Sonia F...
Computing preference queries has received a lot of attention in the database community. It is common that the user is unsure of his/her preference, so care must be taken to elicit...
Feng Zhao, Gautam Das, Kian-Lee Tan, Anthony K. H....
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...