Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data.
Lida ZhangBobak J. MortazaviPublished in: MLHC (2023)
Keyphrases
- meta learning
- multi source
- semi supervised
- data fusion
- learning tasks
- supervised learning
- semi supervised learning
- inductive learning
- information fusion
- model selection
- machine learning algorithms
- decision trees
- labeled data
- machine learning
- data integration
- active learning
- multiple sources
- pairwise
- unlabeled data
- data sources
- metamodel
- data mining
- transfer learning
- feature selection
- high dimensional
- neural network
- data analysis
- data sets
- knowledge acquisition
- genetic algorithm
- data points
- community detection