Reconfigurable hardware has the potential for significant performance improvements by providing support for applicationāspecific operations. We report our experience with Chimae...
Zhi Alex Ye, Andreas Moshovos, Scott Hauck, Prithv...
We reuse here the framework, the setting, and the semantic modelling for the automated synthesis of the SWS Challenge Mediator presented in the companion paper [5], and show how to...
Christian Kubczak, Tiziana Margaria, Matthias Kais...
: In this paper, we discuss adjustable coverage criteria and their combinations in model-based testing. We formalize coverage criteria and specify test goals using OCL. Then, we pr...
Mario Friske, Bernd-Holger Schlingloff, Stephan We...
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....