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- 28Szafron, Duane
- 21Schaeffer, Jonathan
- 19Zaiane, Osmar
- 15Ozsu, M. Tamer
- 14Nascimento, Mario
- 13Yang, Herb
- 29Database Systems
- 18Artificial Intelligence
- 13Computer Games
- 9Computer Graphics
- 8Communication Networks
Graphics Processing Units~(GPUs) have been widely used to accelerate the performance of programs. However, such performance gains can be significantly degraded by irregular data accesses and by control-flow divergence. Both of these performance issues arise only in the presence of...
Curiosity is a critical component of intelligence. One method of motivating curious behaviour in computational systems is to use reinforcement learning to learn which decisions maximize the amount of unexpected error observed by a predictive component. However, reinforcement learning algorithms...
Curiosity is a crucial, but not yet well-understood component of intelligence and a better understanding of existing models may lead to a better understanding of curiosity as a whole. In this work, we present a physical robot implementation of the basic curiosity loop introduced by Gordon and...
QUB Express Multiple Optimization Plugin
This plugin is designed to integrated into QUB-Express and enable data configuration and bulk optimization. Also included is a patch that allows QUB-Express to record state occupancy data and a set of scripts to calculate max deviation and generate LaTeX formatted tables that guide the...
Thread Level Speculation (TLS) is a hardware/software technique that guarantees correct parallel execution of loops even in the presence of dependence and has potential to lead to performance gains through the parallelization of loops that cannot be proven to be free of dependencies at compile...
Fittings of simulated and live ion channel recordings
Results of bulk fittings of 5 simulated and 4 live ion channel recordings performed in QUB Express with the multiple optimization plugin.
In this paper, we applied texture analysis to evaluate cerebral degeneration in amyotrophic lateral sclerosis (ALS). Two well-known methods, the gray level co-occurrence matrix (GLCM) and the gray level aura matrix (GLAM) were employed to extract texture features from routine T1 and T2 MR images....
This manual describes PSVN, a language for describing state space search problems using multi-valued variables that lends itself to efficient calculation of state's successors and predecessors without having to fully ground the operators. It also describes the PSVN compiler, psvn2c, which accepts...