Middleware technologies, often limit the way in which object classes may be used in distributed applications due to the fixed distribution policies imposed by the Middleware system...
Alan Dearle, Scott M. Walker, Stuart J. Norcross, ...
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
We present a new approach to distributed problem solving based on high-level program execution. While this technique has proven itself for single-agent systems based on the Golog ...
In distributed scenarios the robustness of a reputation mechanism depends on the data available for computation. Especially in ad-hoc networks the amount of available data is rest...
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...