Towards maximizing the accuracy of human-labeled sensor data.

Exploiting active-learning strategies for annotating prosodic events with limited labeled data

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An active learning method under very limited initial labeled data

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A Higher Accuracy Classifier Based on Semi-supervised Learning

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Improved Fine-Grained Component-Conditional Class Labeling with Active Learning

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Active learning for accurate analysis of streaming partial discharge data

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Improving sparsely labeled text classification with data editing

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A method of active learning with optimal sampling strategy

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Active Evaluation of Classifiers on Large Datasets

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