Goal-oriented methodologies have demonstrated some adequacy for modelling composite systems, from high level desired properties to operational requirements on responsible agents. T...
Christophe Ponsard, Nadiya Balych, Philippe Masson...
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
This poster presents an evolution strategy for single- and multi-objective optimization. The model uses the predatorprey approach from ecology to scale between both cases. Further...
Ultimate DDDAS success demands that DDDAS simulations be increasingly reconfigurable and adaptable to a growing variety of runtime sensor feedback. Because we expect a simulation...
David C. Brogan, Paul F. Reynolds Jr., Robert G. B...
Effective scheduling in the Grid consisting of heterogeneous and distributed resources is imperative in order to counter unacceptably large overheads of the Grid. We proposed the ...
JiHyun Choi, DongWoo Lee, Rudrapatna S. Ramakrishn...