Predictive Scale-Bridging Simulations through Active Learning.
Satish KarraMohammed MehanaNicholas LubbersYu ChenAbdourahmane DiawJavier E. SantosAleksandra PachalievaRobert S. PavelJeffrey R. HaackMichael McKernsChristoph JunghansQinjun KangDaniel LivescuTimothy C. GermannHari S. ViswanathanPublished in: CoRR (2022)
Keyphrases
- active learning
- learning strategies
- scale space
- pool based active learning
- random sampling
- semi supervised
- information retrieval
- relevance feedback
- supervised learning
- multi agent
- machine learning
- training examples
- feature selection
- learning algorithm
- small scale
- selective sampling
- annotation effort
- imbalanced data classification
- numerical simulations
- labeled data