Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing
It is challenging but important to save annotation efforts in streaming data acquisition to maintain data quality for supervised learning base learners. We propose an ensemble active learning method to actively acquire samples for annotation by contextual bandits, which is will enforce the exploration-exploitation balance and leading to improved AI modeling performance.
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Active LearningDecision MakingMulti-Armed BanditsMethods 이 논문이 사용한 방법론
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