Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
In this paper, we describe a framework for comparing task performance in real and virtual environments. Realistic graphics, rear projection, haptics and rapid prototyping are used...
This paper is the continuation of a series of related work about experimentation of alternative ways of interaction with computers for disabled people (concretely with users suffe...
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At first, we outline the need of such a scheduling approach...