Titlebook: Advances in Feature Selection for Data and Pattern Recognition; Urszula Stańczyk,Beata Zielosko,Lakhmi C. Jain Book 2018 Springer Internat

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https://doi.org/10.1007/978-3-319-67588-6Intelligent Systems; Computational Intelligence; Feature Selection; Pattern Recognition; Classification;

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Christian Schmidt,Lars Dietrichnguishing variables that are relevant from irrelevant, and reduction of dimensionality by selection of the most informative and important descriptors. As a result, the field of feature selection for data and pattern recognition is studied with such unceasing intensity by researchers, that it is not

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Christian Schmidt,Lars Dietrich of a numerical attribute is mapped into a single interval. The problem is how such reduction of data sets affects the error rate measured by the C4.5 decision tree generation system using ten-fold cross-validation. Our experiments on 15 numerical data sets show that for a Dominant Attribute discret

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Komplexverbindungen Bindungen in Komplexenalanced Bagging, which aims to improve recognition of minority and majority classes with respect to so far proposed extensions of bagging. Its key idea consists in additional improving of an under-sampling bagging classifier (learned in the first phase) by updating in the second phase the bootstrap

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