Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a non-linear generative model of handwritten images of digits. The q...
State-of-the-art systems engineering uses many models reflecting various aspects of the modeled system. A major task of system engineers is to ensure consistency between the many...
Kees M. van Hee, Natalia Sidorova, Lou J. Somers, ...
Water quality models combine fluid-flow relations with biological regressions, all on a spatially complex domain. For many applications, a computationally simple lumped paramete...