Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
Timetabling problems are constraint optimization problems proven to be NP complete. Furthermore, evaluation of violations is costly, and there is no common data format for represen...
— In many decision support applications it is important to guarantee the expressive power, easy formalization and interpretability of Mamdani-type fuzzy inference systems (FIS), ...
Javad Jassbi, S. H. Alavi, Paulo J. A. Serra, Rita...
In this paper we present an adaptive method for graphic symbol representation based on shape contexts. The proposed descriptor is invariant under classical geometric transforms (r...
This paper presents an approach for representing, and providing computer support for, the configuration of interactive systems, particularly ubiquitous systems, that offers a flexi...