The global scenario put together by communication networks determines new opportunities towards the realization of Internetbased distributed services in many complex and composite...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Abstract—Motivated by the increasing usage of wireless broadcast networks for multicast real-time applications like video, this paper considers a canonical real-time multicast sc...
Vivek Raghunathan, Vivek S. Borkar, Min Cao, P. R....
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
VLSI research, in its continuous push toward further miniaturisation, is seeking to break through the limitations of current circuit manufacture techniques by moving towards biomi...
James Smaldon, Natalio Krasnogor, Alexander Camero...