Time series forecasting with missing data using neural network and meta-transfer learning.
Mario MayaWen YuXiaoou LiPublished in: SSCI (2021)
Keyphrases
- missing data
- transfer learning
- neural network
- artificial neural networks
- learning tasks
- knowledge transfer
- missing values
- incomplete data
- semi supervised learning
- labeled data
- cross domain
- reinforcement learning
- low rank
- machine learning algorithms
- active learning
- domain adaptation
- pattern recognition
- learning algorithm
- collaborative filtering
- text categorization
- multi task learning
- target domain
- matrix factorization
- machine learning
- multi task
- multiple imputation
- transfer knowledge
- imprecise data
- text mining
- data sets
- text classification
- face recognition
- neuro fuzzy
- pairwise
- fuzzy neural network
- natural language processing
- unlabeled data