Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning.
Junyu XuanJie LuGuangquan ZhangPublished in: CoRR (2021)
Keyphrases
- transfer learning
- probabilistic graphical models
- learning tasks
- graphical models
- structure learning
- machine learning
- collaborative filtering
- labeled data
- reinforcement learning
- active learning
- machine learning algorithms
- semi supervised learning
- multi task
- text categorization
- text mining
- bayesian networks
- first order logic
- markov networks
- belief propagation
- nearest neighbor
- latent variables
- probabilistic model
- data sets
- approximate inference
- posterior probability
- learning process
- maximum likelihood
- knowledge representation