In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Cross-layer optimization aims at improving the performance of network users operating in a time-varying, error-prone wireless environment. However, current solutions often rely on...
The clock tree is the interconnect net on Systems-on-Chip (SoCs) with the heaviest load and consumes up to 40% of the overall power budget. Substantial savings of the overall powe...
Saif Ali Butt, Stefan Schmermbeck, Jurij Rosenthal...
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....