This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
Addressing non-orthogonal software concerns that arisefrom requirements can significantly contribute to the complexity of developing large systems. Difficulties arise from the need...
One of the typical features of distributed systems is the heterogeneity of its components (e.g. geographical spreading and different platform architectures), leading to interopera...
Tom Verdickt, Bart Dhoedt, Frank Gielen, Piet Deme...
−−−− Ordinary t-timed Petri Nets are used for modeling, analysis and synthesis of random topology production systems and networks. Each production system is first decompose...
George J. Tsinarakis, Kimon P. Valavanis, Nikos Ts...