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Estimating Optimal Active Learning via Model Retraining Improvement
This MRI framework reveals intricate estimation issues that in turn motivate the construction of new statistical AL algorithms.
When does Active Learning Work?
To address these questions, a comprehensive experimental simulation study of Active Learning is presented.
Targeting Optimal Active Learning via Example Quality
This work presents a new theoretical approach to AL, example quality, which defines optimal AL behaviour in terms of ELR.
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