Titlebook: Advances in Knowledge Discovery and Management; Volume 4 Fabrice Guillet,Bruno Pinaud,Djamel Abdelkader Zig Book 2014 Springer Internationa

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International Union Against Cancerer than the sum of the Kullback-Leibler divergences between clusters distributions before and after the merges. The practical interest of the approach for functional data exploratory analysis is presented and compared with an alternative approach on an artificial and a real world data set.

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Extraocular Muscles in Graves’ Disease subject. The proposed “slope criterion” was further refined using a genetic algorithm to select the most important EEG electrodes in terms of classification accuracy.Results show that the proposed strategy derives accurate predictive models of alertness.

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International Union Against Cancerhe original data by allowing a temporal leeway on the extraction process. We formalize the ITS extraction under classical time and support constraints and conduct some experiments on synthetic data to validate our proposal.

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International Union Against Cancerrs (digitized pictures) that must be recognized. The second uses a set of reports for which we have an expert classification given a . so we can compare this classification with the one obtained automatically.

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