While the literature contains several adaptive sampling techniques for statistical comparison of competing simulated system configurations and for embedded statistical computation...
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
This paper reports findings of a study of shock absorber assembly line using computer simulation. The shock absorber assembly line feeds shockers to the motorcycle assembly line. ...
Multi-user environments, using 3D graphics, more and more find their way into areas like e-business, entertainment and cooperative work. Due to the increasing capabilities of hard...
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...