Concern for the increasing susceptibility of processor structures to transient errors has led to several recent research efforts that propose architectural techniques to enhance r...
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
IP over optical networks controlled by the GMPLS control plane have become the common infrastructure for a variety of services, such as triple play and grid applications. The traff...
This paper presents ongoing research and current results on the development of flexible access control infrastructure for complex resource provisioning (CRP) in Grid-based applica...