To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
This paper details the implementation of a software framework that aids the development of distributed and self-configurable software systems. This framework is an instance of a n...
David Lillis, Rem W. Collier, Mauro Dragone, Grego...
—In recent literature, network coding has emerged as a promising information theoretic approach to improve the performance of both peer-to-peer and wireless networks. It has been...
Abstract. A key function of a Service Oriented Architecture is the separation between business logic and the platform of its implementation and deployment. Much of the focus in SOA...
William Arnold, Tamar Eilam, Michael H. Kalantar, ...
Large-scale sensor network applications require in-network processing and data fusion to compute statistically relevant summaries of the sensed measurements. This paper studies di...
Jeremy Schiff, Dominic Antonelli, Alexandros G. Di...