Active Learning for Linear Parameter-Varying System Identification.
Robert ChinAlejandro I. MaassNalika UlapaneChris ManzieIman ShamesDragan NesicJonathan E. RoweHayato NakadaPublished in: CoRR (2020)
Keyphrases
- active learning
- input output
- linear model
- learning strategies
- random sampling
- imbalanced data classification
- transfer function
- parameter values
- labeled data
- supervised learning
- data mining
- semi supervised
- closed form
- recurrent neural networks
- machine learning
- neural network
- learning process
- genetic algorithm
- transfer learning
- parameter settings
- data sets
- experimental design
- sample selection
- database