Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
In this article, new variation operators for evolutionary multiobjective algorithms (EMOA) are proposed. On the basis of a predator-prey model theoretical considerations as well a...
We consider the problem of obtaining the approximate maximum a posteriori estimate of a discrete random field characterized by pairwise potentials that form a truncated convex mod...
Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In...
Linda R. Petzold, Shengtai Li, Yang Cao, Radu Serb...
In this paper previous work on the detection of high-level concepts within multimedia documents is extended by introducing a mid-level ontology as a means of exploiting the visual ...
Evaggelos Spyrou, Phivos Mylonas, Yannis S. Avrith...