Deep active learning for nonlinear system identification.
Erlend Torje Berg LundbyAdil RasheedIvar Johan HalvorsenDirk ReinhardtSebastien GrosJan Tommy GravdahlPublished in: CoRR (2023)
Keyphrases
- active learning
- selective sampling
- semi supervised
- learning strategies
- random sampling
- supervised learning
- learning algorithm
- machine learning
- training set
- learning process
- batch mode active learning
- experimental design
- active learning strategies
- deep learning
- sample selection
- sample complexity
- batch mode
- training examples
- annotation effort
- pool based active learning
- imbalanced data classification
- belief nets
- prediction accuracy
- cost sensitive
- neural network
- unlabeled data
- semi supervised learning
- relevance feedback
- multiscale
- knowledge base
- real world