Chris Fernandez

NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning

Active learning methods automatically adapt data collection by selecting the most informative samples in order to accelerate machine learning. Because of this, real-world testing and comparing active learning algorithms requires collecting new datasets (adaptively), rather than simply applying algor…