Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy.
Valentin HamaideFrançois GlineurPublished in: ESANN (2021)
Keyphrases
- transfer learning
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- reinforcement learning
- active learning
- machine learning
- manifold alignment
- transfer knowledge
- text classification
- machine learning algorithms
- text categorization
- semi supervised learning
- maximum likelihood
- unlabeled data
- domain adaptation
- learning algorithm
- transferring knowledge
- neural network
- multi task
- multi task learning
- decision theory
- bayesian networks
- collaborative filtering
- learning process