On partitioning of an SHM problem and parallels with transfer learning.
George TsialiamanisDavid J. WaggP. A. GardnerNikolaos DervilisKeith WordenPublished in: CoRR (2022)
Keyphrases
- transfer learning
- learning tasks
- knowledge transfer
- labeled data
- reinforcement learning
- cross domain
- active learning
- text categorization
- machine learning
- transfer knowledge
- domain adaptation
- multi task learning
- structure learning
- semi supervised learning
- manifold alignment
- machine learning algorithms
- multi task
- text classification
- collaborative filtering
- learning algorithm
- transferring knowledge
- data sets
- unlabeled data
- target domain
- object recognition
- training data