The traditional approach for characterizing complex systems is to run standard workloads and measure the resulting performance as seen by the end user. However, unique opportuniti...
Haryadi S. Gunawi, Nitin Agrawal, Andrea C. Arpaci...
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
In this work, we investigate the viability of a novel combination of evoked responses as input signals for a general-purpose brain-machine interface (BMI). We demonstrate response...
Rudolph L. Mappus IV, Paul M. Corballis, Melody Mo...
Our previous work [26] introduced Belief Logic Programming (BLP), a novel form of quantitative logic programming with correlation of evidence. Unlike other quantitative approaches ...