Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Active-network technology envisions deploying execution environments in network elements so that application-specific processing can be applied to network traffic. To provide safe...
Virginie Galtier, Kevin L. Mills, Yannick Carlinet
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch
Abstract. This paper addresses the problems appearing in componentbased development of safety-critical systems. We aim at efficient reasoning about safety at system level while add...