Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...
Natural resources data is usually geo-referenced. It contains mostly 1-n dimension scalar or vector values, and can be associated with meteorology, geology, water, weather, etc. S...
A psycho-physical vehicle-following model tries to capture both the physical and human components of congested-traffic simulations. These models determine the reactions of the veh...
Modelling activities in molecular biology face the difficulty of prediction to link molecular knowledge with cell phenotypes. Even when the interaction graph between molecules is k...