Active Learning with Expected Error Reduction.
Stephen MussmannJulia ReislerDaniel TsaiEhsan MousaviShayne O'BrienMoisés GoldszmidtPublished in: CoRR (2022)
Keyphrases
- active learning
- expected error
- generalization error
- training set
- learning algorithm
- random sampling
- lower bound
- semi supervised
- training examples
- worst case
- machine learning
- learning process
- supervised learning
- transfer learning
- decision trees
- uniform convergence
- objective function
- labeled data
- semi supervised learning
- statistical learning theory