Discrete-event simulation is an established tool for the design and management of large-scale mail sortation and distribution systems. Because the design of distribution facilitie...
K. Preston White, Brian Barney, Scott Keller, Robe...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
We present a novel probabilistic approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local...
Abstract Interpretation for Control-Flow Analysis Yan Mei Tang and Pierre Jouvelot CRI, Ecole des Mines de Paris, France Effect systems and abstract interpretation are two methods ...
Component-based software construction is widely used in a variety of applications, from embedded environments to grid computing. However, errors in these applications and systems ...