In this paper, we consider periodic linear systems driven by T0-periodic signals that we desire to reconstruct. The systems under consideration are of the form ˙x =A(t)x +A0(t)w(...
Jonathan Chauvin, Gilles Corde, Nicolas Petit, Pie...
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
There are various models in software engineering that are used to predict quality-related aspects of the process or artefacts. The use of these models involves elaborate data coll...
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effec...