As multicore architectures gain widespread use, it becomes increasingly important to be able to harness their additional processing power to achieve higher performance. However, e...
David Zhang, Qiuyuan J. Li, Rodric Rabbah, Saman A...
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
This article presents a multiprocessor system-on-chip synthesis (MPSoC) algorithm that optimizes system mean time to failure. Given a set of directed acyclic periodic graphs of co...
Changyun Zhu, Zhenyu (Peter) Gu, Robert P. Dick, L...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...