This work advances the Support Vector Machine (SVM) based approach for predictive modelling of failure time data as proposed in [1]. The main results concern a drastic reduction in...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
Abstract. This paper pursues three primary objectives. First, a brief introduction to system-of-systems is presented in order to establish a foundation for exploration of the role ...
The paper deals with the process of designing a phonetically and prosodically rich speech corpus for unit selection speech synthesis. The attention is given mainly to the recordin...
In recent years, the combinatorics of argumentation with arguments that can attack each other has been studied extensively. Especially, attack graphs (put in the focus of attentio...