Stochastic simulations involve at least some random inputs. This introductory tutorial is meant to call attention to the need to model and generate such inputs in ways that may no...
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
In this paper, we propose two speculation-based methods for fast and accurate simulation-based performance and dependability analysis of complex systems, incorporating detailed si...
Yiqing Huang, Zbigniew Kalbarczyk, Ravishankar K. ...
This paper discusses issues in modeling C4I and cognitive processes in next generation simulations and applications to Force XXI command and control. We propose a modification to ...
Martin S. Kleiner, Scott A. Carey, Joseph E. Beach
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...