: A common problem in model-driven software development processes is the tracing of requirements across different phases of the software development life cycle iple levels of abstr...
Markus Aleksy, Tobias Hildenbrand, Claudia Obergfe...
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Nowadays, launching new products in short intervals is a critical factor for success to persist on the global market. At the same time many enterprises call for cost reduction in ...
We investigate the performance of the IEEE 802.11e while emphasizing on the end-to-end delay performance. In our MAC delay analysis, we are based on elementary conditional probabi...
Ioannis Papapanagiotou, John S. Vardakas, Georgios...
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...