PEAMATL: A Strategy for Developing Near-Infrared Spectral Prediction Models Under Domain Shift Using Self-Supervised Transfer Learning.
Yu YangShangpeng SunMin HuangQibing ZhuPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- transfer learning
- cross domain
- learning tasks
- domain adaptation
- labeled data
- knowledge transfer
- machine learning algorithms
- target domain
- machine learning
- transfer knowledge
- prediction model
- probabilistic model
- reinforcement learning
- standard learning algorithms
- source and target domains
- text categorization
- prior knowledge
- multi task
- multi task learning
- learning algorithm
- learning environment
- manifold alignment
- databases
- structure learning
- feature extraction
- graphical models
- collaborative filtering
- semi supervised learning
- domain specific