Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
Abstract: The present contribution deals with the experiences of introducing a modelbased software development method for device driver families used in electronic control units in...
Abstract. We propose a theory of time-bounded verification for realtime systems, in which verification queries are phrased over time intervals of fixed, bounded duration. We argue ...
Abstract--In this letter, an initial ranging scheme for orthogonal frequency-division multiple-access systems is proposed by which users that intend to establish a communication li...
Luca Sanguinetti, Michele Morelli, H. Vincent Poor
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...