Abstract. This paper describes a framework for the design space exploration of resource-efficient software-defined radio architectures. This design space exploration is based on a ...
Thorsten Jungeblut, Ralf Dreesen, Mario Porrmann, ...
Abstract An infrastructure is currently being deployed for delivering multimedia services using IP endto-end. Mobile devices and application resources, because of their computing c...
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...