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Basket Classifier: Fast and Optimal Restructuring of theClassifier for Differing Train and Target Samples
<!--HTML-->The common approach for constructing a classifier for particle selection assumes reasonable consistency between train data samples and the target data sample used for the particular analysis. However, train and target data may have very different properties, like energy spectra for...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2767116 |