A budgeted online active learning framework that combines expert-advice weighting with historical unlabeled episodes to select query times outperforms uniform and secretary-based sampling on agricultural benchmarks.
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Budgeted Online Active Learning with Expert Advice and Episodic Priors
A budgeted online active learning framework that combines expert-advice weighting with historical unlabeled episodes to select query times outperforms uniform and secretary-based sampling on agricultural benchmarks.