Many distributed software systems allow participation by large numbers of untrusted, potentially faulty components on an open network. As faults are inevitable in this setting, th...
Yuriy Brun, George Edwards, Jae Young Bang, Nenad ...
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
In this paper we present data structures and distributed algorithms for CSL model checking-based performance and dependability evaluation. We show that all the necessary computatio...
In: Proceedings of the Eleventh International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA-04), Springer-Verlag LNAI Series. c 2004 We present ...