Discovering predictive ensembles for transfer learning and meta-learning.
Pavel KordíkJán CernýTomás FrýdaPublished in: Mach. Learn. (2018)
Keyphrases
- meta learning
- transfer learning
- learning tasks
- machine learning algorithms
- decision trees
- base classifiers
- machine learning
- cross domain
- active learning
- labeled data
- inductive learning
- semi supervised learning
- learning algorithm
- reinforcement learning
- transfer knowledge
- text categorization
- ensemble methods
- text classification
- model selection
- multi class
- feature selection
- neural network
- text mining
- information retrieval
- knn
- benchmark datasets
- training set
- training data
- feature extraction
- naive bayes
- metamodel
- e learning
- unlabeled data
- supervised learning