Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains.
Aqsa Saeed QureshiAsifullah KhanPublished in: CoRR (2018)
Keyphrases
- transfer learning
- knowledge transfer
- cross domain
- neural network
- learning tasks
- machine learning
- transfer knowledge
- active learning
- reinforcement learning
- transferring knowledge
- text classification
- target domain
- collaborative filtering
- learning algorithm
- back propagation
- knowledge sharing
- machine learning algorithms
- labeled data
- semi supervised learning
- domain adaptation
- databases
- multi task
- text categorization
- wind power
- feature extraction
- real world
- short term prediction