Titlebook: Advances in Artificial Intelligence; 26th Canadian Confer Osmar R. Zaïane,Sandra Zilles Conference proceedings 2013 Springer-Verlag Berlin

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Protocol Verification in a Theory of Action analysis is based on the single variable models and applications, theorems and examples are all set to be converted tomulti variable extensions. For example, Newton, Riemann, Stieltjes and Lebesque integrals are studied together and compared.978-94-6239-040-9978-94-91216-86-2

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https://doi.org/10.1007/978-3-322-81741-9rsity of base learners generated with different set of features. The recognition results of the individual classifiers are compared with those obtained from fusing the classifiers’ output, showing significant performance improvements of the proposed methodology.

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https://doi.org/10.1007/978-3-658-35711-5 of Kentucky Medical Center. Using named entity recognition (NER), graph-based concept-mapping of medical concepts, and extractive text summarization techniques, we achieve an example based average recall of 0.42 with average precision 0.47; compared with a baseline of using only NER, we notice a 12

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International Political Economy Seriesotifs. Secondly, we apply MAM to mine frequent episodes from event streams. Current methods are all limited by requiring users to either provide possible lengths of frequent episodes or specify an inter-event time constraint for every pair of successive event types in an episode. The results on neur

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