Deep transfer learning for system identification using long short-term memory neural networks.
Kaicheng NiuMi ZhouChaouki T. AbdallahMohammad HayajnehPublished in: CoRR (2022)
Keyphrases
- transfer learning
- recurrent neural networks
- neural network
- learning tasks
- knowledge transfer
- cross domain
- feed forward
- reinforcement learning
- artificial neural networks
- domain adaptation
- machine learning
- active learning
- collaborative filtering
- pattern recognition
- text mining
- semi supervised learning
- machine learning algorithms
- labeled data
- transfer knowledge
- text classification
- multi task
- text categorization
- multi task learning
- unlabeled data
- back propagation
- decision trees
- manifold alignment
- knowledge representation
- target domain
- transferring knowledge
- cross domain learning
- recommender systems
- natural language
- feature selection
- learning algorithm
- data mining