Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their interrelationships. This is used to develop a generic representation fr...
Abstract. Although older people are an important user group for smart environments, there has been relatively little work on adapting natural language interfaces to their requireme...
Ravichander Vipperla, Maria Wolters, Kallirroi Geo...
We believe that to fully support adaptive distributed applications, middleware must itself be adaptable, adaptive and policy-free. In this paper we present a new language-independ...
Alan Dearle, Graham N. C. Kirby, Stuart J. Norcros...
The paper introduces a system model called the probabilistic asynchronous model which characterises the context in which many practical and the Internet-based applications are bui...