"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Within the framework of long memory multivariate processes, fractal connectivity is a particular model, in which the low frequencies (coarse scales) of the interspectrum of each p...
Herwig Wendt, Antoine Scherrer, Patrice Abry, Soph...
Abstract— The design of robotic systems involves contributions from several areas of science and engineering. Electrical, mechanical and software components must be integrated to...
We present in this paper an extension of the messagedriven confidence-driven framework that we developed for onboard guarded software upgrading. The purpose of this work is to pr...
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...