In this paper we propose a distributed message-passing algorithm for inference in large scale graphical models. Our method can handle large problems efficiently by distributing a...
Alexander Schwing, Hazan Tamir, Marc Pollefeys, Ra...
We define an “enriched effect calculus” by extending a type theory for computational effects with primitives from linear logic. The new calculus, which generalises intuitionis...
In recent years, wireless sensor networking has shown great promise in applications ranging from industrial control, environmental monitoring and inventory tracking. Given the res...
Anthony Rowe, Karthik Lakshmanan, Ragunathan Rajku...
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Developers of highly configurable performanceintensive software systems often use a type of in-house performance-oriented "regression testing" to ensure that their modif...
Cemal Yilmaz, Arvind S. Krishna, Atif M. Memon, Ad...