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...
Embedded system synthesis, multiprocessor synthesis, and thread assignment policy design all require detailed knowledge of the runtime communication patterns among different threa...
When pricing options via Monte Carlo simulations, precision can be improved either by performing longer simulations, or by reducing the variance of the estimators. In this paper, ...
Radiation hybrid (RH) mapping is a somatic cell technique that is used for ordering markers along a chromosome and estimating physical distances between them. It nicely complements...
Thomas Schiex, Patrick Chabrier, Martin Bouchez, D...
The paper presents a novel integrated system in which a number of image processing algorithm are embedded within a Genetic Algorithm (GA) based framework in order to provide an ad...
Syamsiah Mashohor, Jonathan R. Evans, Ahmet T. Erd...