The design principle of restricting local autonomy only where necessary for global robustness has led to a scalable Internet. Unfortunately, this scalability and capacity for dist...
Angelos D. Keromytis, Sotiris Ioannidis, Michael B...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
This paper describes a novel application for Aspect-Oriented Programming (AOP). By combining the concepts of Business Process Management and AOP, we present an approach for enabli...
Abstract— A location tracking sensor network is being deployed in several buildings at the University of Michigan to help explore issues in design of pervasive environments. Mana...
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...