A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification
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DOI: 10.1109/tkde.2021.3087517
Abstract: High-dimensional small-size data seriously affects the performance of classifiers. By combining classifiers, ensemble learning obtains higher accuracy and more robust predictions. However, these classifier ensemble methods suffer from several limitations: 1) ensemble with sample space… read more here.
Keywords: subspace enhancement; classifier ensemble; feature; dimensional data ... See more keywords