Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...
In this paper, a State-Based Dynamic Transportation Network (SBDTN) model is presented, which can be used to describe the spatiotemporal aspect of temporally variable transportatio...
Services provide access to software components that can be discovered dynamically via the Internet. The increasing number of services a requesters may be able to use demand support...
Muhammad Naeem, Reiko Heckel, Fernando Orejas, Fra...
Recently, quite a few papers studied methods for representing network properties by assigning informative labels to the vertices of a network. Consulting the labels given to any t...
Computational grids are now widespread, but their large-scale behaviour is still poorly understood. We report on some calculations of loading, scaling and utilisation behaviours o...