Nuances in Margin Conditions Determine Gains in Active Learning.
Samory KpotufeGan YuanYunfan ZhaoPublished in: AISTATS (2022)
Keyphrases
- active learning
- training set
- machine learning
- environmental conditions
- learning strategies
- learning algorithm
- sufficient conditions
- semi supervised learning
- semi supervised
- random sampling
- generalization error
- active learning strategies
- real time
- sample selection
- selective sampling
- experimental design
- training examples
- supervised learning
- learning process
- support vector
- real world