DataFunTalk
Sep 13, 2020 · Artificial Intelligence
Active Learning: Concepts, Query Strategies, and Applications
Active Learning is a machine learning approach that reduces labeling costs by iteratively selecting the most informative samples for human annotation, using various query strategies such as uncertainty sampling, query-by-committee, expected model change, and density-weighted methods, applicable to domains like image classification, security risk control, and anomaly detection.
Labeling Cost ReductionMachine LearningQuery Strategies
0 likes · 15 min read