CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training.
Guy ZaksGilad KatzPublished in: AAMAS (2020)
Keyphrases
- meta learning
- co training
- learning tasks
- semi supervised learning
- semi supervised
- unlabeled data
- supervised learning
- inductive learning
- active learning
- multi view
- text classification
- model selection
- single view
- machine learning algorithms
- feature selection
- machine learning
- unsupervised learning
- labeled data
- training examples
- decision trees
- benchmark datasets
- named entities
- metamodel
- base classifiers
- image segmentation
- transfer learning
- learning algorithm
- training data
- reinforcement learning
- data mining
- database
- feature set