Cross-domain Few-shot Meta-learning Using Stacking.
Hongyu WangEibe FrankBernhard PfahringerMichael MayoGeoffrey HolmesPublished in: CoRR (2022)
Keyphrases
- meta learning
- cross domain
- base classifiers
- learning tasks
- transfer learning
- inductive learning
- model selection
- knowledge transfer
- multi class
- decision trees
- ensemble methods
- machine learning algorithms
- text categorization
- machine learning
- training set
- data mining
- metamodel
- feature selection
- data sets
- naive bayes
- test data
- cost sensitive
- training samples
- feature set
- software engineering
- active learning
- data model
- reinforcement learning
- training data
- neural network