On the Robustness of Active Learning.
Lukas HahnLutz Roese-KoernerPeet CremerUrs ZimmermannOri MaozAnton KummertPublished in: CoRR (2020)
Keyphrases
- active learning
- learning algorithm
- relevance feedback
- random sampling
- learning process
- selective sampling
- labeled data
- experimental design
- computational efficiency
- learning strategies
- training examples
- supervised learning
- machine learning
- data mining
- high robustness
- database
- batch mode
- pool based active learning
- lower bound
- image processing
- computer vision
- neural network
- data sets
- real time