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Active Learning With Unsupervised Ensembles Of Classifiers

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IEEE ICASSP 2020 Virtual Conference May 2020

The present work introduces a simple scheme for active classification of data using unsupervised ensembles of classifiers. Uncertainty sampling, with different uncertainty measures, is evaluated for data selection, while an online expectation maximization

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Active Learning With Unsupervised Ensembles Of Classifiers

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The present work introduces a simple scheme for active classification of data using unsupervised ensembles of classifiers. Uncertainty sampling, with different uncertainty measures, is evaluated for data selection, while an online expectation maximization