머신러닝
Active learning
Active learning skill. Uncertainty sampling, Query-by-Committee, expected model change, pool-based/stream-based, batch active learning, GP-based active learning with ARD-RBF kernel, dimension-adaptive convergence, stopping criteria, and model improvement pipeline.
Use when working with uncertainty sampling, query-by-committee, expected model change.