Limitations of Assessing Active Learning Performance at Runtime.
Daniel KottkeJim SchellingerDenis HuseljicBernhard SickPublished in: CoRR (2019)
Keyphrases
- active learning
- random sampling
- learning strategies
- training set
- supervised learning
- pool based active learning
- machine learning
- selective sampling
- training examples
- semi supervised
- imbalanced data classification
- assessment process
- website
- relevance feedback
- learning process
- feature selection
- generalization error
- experimental design
- sample complexity
- information systems
- sample selection
- search engine
- active learning strategies
- batch mode active learning
- neural network
- databases