Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
This paper presents a methodology to combine Transaction Level Modeling and System/Network co-simulation for the design of networked embedded systems. As a result, a new design di...
This paper describes the methodology used to add nonintrusive system-level fault tolerance to an electronic throttle controller. The original model of the throttle controller is a...
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Fingerprint matching is affected by the nonlinear distortion introduced in fingerprint impressions during the image acquisition process. This nonlinear deformation causes finger...