Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
The AutoModTM simulation system differs significantly from other systems because of its ability to deal with the physical elements of a system in physical (graphical) terms and th...
A framework to design simulation models is described in order to perform activity-based costing for flexible manufacturing systems before actual manufacturing activities. For illu...
A k-dense corridor through a finite set, S, of n points in the plane is the open region of the plane that is bounded by two parallel lines that intersect the convex hull of S and ...
Wepresent algorithms for kinematic manipulation of molecular chains subject to fixed bond lengths and bond angles. They are useful for calculating conformations of a molecule subj...