—In this paper, we extend the load sharing framework to study how to effectively perform flow-based traffic splitting in multipath communication networks. The generalized load sh...
We describe a new theoretical framework for robot-aided training of arm movements. This framework is based on recent studies of motor adaptation in human subjects and on general c...
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
We study the issue of performance prediction on the SGIPower Challenge, a typical SMP. On such a platform, the cost of memory accesses depends on their locality and on contention ...
Nancy M. Amato, Jack Perdue, Mark M. Mathis, Andre...