A Subspace Ensemble Framework for High-Dimensional Active Learning
Supervised learning in fields such as genomics and medical imaging is often hindered by the high cost of expert data annotation. Active learning addresses this bottleneck by iteratively selecting the most informative unlabeled samples for labeling. However, in high-dimensional environments, traditional diversity-based...