A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
—Automatic service and application deployment and management is becoming possible through the use of service and infrastructure discovery and policy systems. But using the infras...
Robert Adams, Ricardo Rivaldo, Guilherme Germoglio...
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
We study the impact of user association policies on flow-level performance in interference limited wireless networks. Most research in this area has used static interference model...
Functional Reactive Programming (frp) extends traditional functional programming with dataflow evaluation, making it possible to write interactive programs in a declarative style...
Kimberley Burchett, Gregory H. Cooper, Shriram Kri...