We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Building an adaptive software system that can cope with changing requirements and changing environments presents four major challenges. These are (1) to receive, represent and rea...
— Adaptive reduced-rank (RR) multistage matrix Wiener filtering (MMWF) techniques, based on the minimum mean-square error (MMSE) criterion, are proposed for timehopping (TH) pul...
Caustics produce beautiful and intriguing illumination patterns. However, their complex behavior make them difficult to simulate accurately in all but the simplest configurations....
This paper shows how modern structuring techniques can be employed in integrating complex web applications such as Travel Agency systems. The main challenges the developers of suc...
Alexander B. Romanovsky, Panos Periorellis, Avelin...