Minimax Active Learning Via Minimal Model Capacity.
Shachar ShayovitzMeir FederPublished in: MLSP (2019)
Keyphrases
- active learning
- random sampling
- learning strategies
- semi supervised
- learning algorithm
- active learning strategies
- training examples
- evaluation function
- machine learning
- annotation effort
- training set
- learning process
- supervised learning
- worst case
- capacity expansion
- high capacity
- pool based active learning
- neyman pearson
- real time
- game tree
- generalization error
- sample selection
- experimental design
- labeled data
- genetic algorithm
- data sets