In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
In the previous years some authors have been elaborating on the measurementtheoretic foundations of fuzzy set theory. A well-known problem in this approach is the difficult applic...
Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
This paper presents an efficient method to find the optimal intra-task voltage/frequency scheduling for single tasks in practical real-time systems using statistical workload in...
Zhijian Lu, Yan Zhang, Mircea R. Stan, John Lach, ...
We report on the successful process of transitioning a 4th-year university software engineering capstone course from a waterfall approach to an iterative, more agile model. The se...