Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization.
Yunchuan ZhangSharu Theresa JoseOsvaldo SimeonePublished in: MLSP (2021)
Keyphrases
- energy minimization
- meta learning
- energy function
- learning tasks
- graph cuts
- inductive learning
- markov random field
- model selection
- transfer learning
- machine learning algorithms
- decision trees
- belief propagation
- image segmentation
- bayesian networks
- metamodel
- max flow min cut
- feature selection
- data mining
- min cut max flow
- knowledge acquisition
- level set
- higher order
- image processing
- base classifiers
- learning styles
- machine learning methods
- multi label
- benchmark datasets
- software engineering
- active learning
- learning algorithm