We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
We had introduced the massively parallel global cellular automata (GCA) model. Parallel algorithms derived from applications can be mapped straight forward onto this model. In thi...
The adventof multipoint(multicast-based) applications and the growth and complexity of the Internet has complicated network protocol design and evaluation. In this paper, we prese...
Ahmed Helmy, Sandeep K. S. Gupta, Deborah Estrin, ...
In the design of complex power distribution networks (PDN) with multiple power islands, it is required that the PDN represents a low impedance as seen by the digital modules. This...