A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
—This paper proposes an analytical study which aims at evaluating the received power statistics in DS-CDMA cellular systems which use a closed-loop power control scheme to compen...
Andrea Abrardo, Giuliano Benelli, Giovanni Giamben...
Parallel computing is widely used for large scale threedimensional simulation of seismic wave propagation. One particularity of most of these simulations is to consider a finite c...
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering a...
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo