Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics.
Matthias PerkoniggJohannes HofmanningerChristian HeroldHelmut ProschGeorg LangsPublished in: CoRR (2021)
Keyphrases
- active learning
- limited resources
- resource management
- real world
- transfer learning
- learning strategies
- application domains
- relevance feedback
- supervised learning
- learning algorithm
- machine learning
- imbalanced data classification
- selective sampling
- experimental design
- resource limitations
- web resources
- real time
- computing environments
- resource allocation
- training examples
- support vector machine
- data mining
- data sets