Titlebook: Artificial Intelligence Applications and Innovations; 3rd IFIP Conference Ilias Maglogiannis,Kostas Karpouzis,Max Bramer Conference procee

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Stopping Rules in Political Settingsrchers have examined their sufficiency in ensembles. Although many methods of ensemble design have been proposed, there is as yet no obvious picture of which method is best. One notable successful adoption of ensemble learning is the distributed scenario. In this work, we propose an efficient distri

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Mechanisms of Institutional CouplingS) in the context of model-driven engineering. An extension to the Unified Modeling Language (UML) for knowledge modeling is presented based on the profiling extension mechanism of UML. The UML profile discussed in this paper has been successfully captured in a Meta-Object-Facility (MOF) based UML t

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Mechanisms of Institutional Couplingchitecture relies on OMG’s description logics metamodel, tableau metamodel, and model transformations using a language for model transformation. We show an example of DLs knowledge base using UML notation in context of MDA. The idea can be easily applied to implementation of a first-order logic theo

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