On risk-based active learning for structural health monitoring.
Aidan J. HughesLawrence A. BullPaul GardnerRobert James BarthorpeNikolaos DervilisKeith WordenPublished in: CoRR (2021)
Keyphrases
- active learning
- selective sampling
- machine learning
- expected loss
- random sampling
- learning strategies
- decision making
- semi supervised
- training examples
- risk measures
- high risk
- risk assessment
- labeled data
- online learning
- training set
- learning algorithm
- batch mode active learning
- unlabeled data
- risk factors
- imbalanced data classification
- minimum risk
- pool based active learning
- natural disasters
- batch mode
- risk management
- transfer learning
- training data
- information systems