  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.
