Titlebook: Advances on Data Mining: Applications and Theoretical Aspects; 11th Industrial Conf Petra Perner Conference proceedings 2011 Springer-Verla

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Comparing Classifiers and Metaclassifiers and test pilots with an invaluable source of information and inspiration. Yet, it also offers a compelling reading to students, professionals and scientists in the aerospace field as well as to curious readers978-3-031-06033-5978-3-031-06031-1

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https://doi.org/10.1007/978-1-4757-9592-9or multivariate data on a unit hypersphere. Parameters for the model are estimated using the Expectation-Maximization procedure. A set of experimental results on modeling hyperspectral images as vMF mixture distributions demonstrate the advantages.

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https://doi.org/10.1007/978-94-017-0982-8 The performances of the five base classifiers, their ensembles based on bagging, and the proposed hybrid metaclassifier are compared using classification error rates. Eight different datasets coming from the UCI Machine Learning database repository are used in the experiments.

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