Active Learning Improves Performance on Symbolic RegressionTasks in StackGP.
Nathan HautWolfgang BanzhafBill PunchPublished in: CoRR (2022)
Keyphrases
- active learning
- random sampling
- machine learning
- semi supervised
- symbolic representation
- training examples
- learning algorithm
- selective sampling
- supervised learning
- data mining
- experimental design
- connectionist systems
- connectionist learning
- training set
- batch mode
- learning strategies
- transfer learning
- connectionist models
- annotation effort
- batch mode active learning
- unlabeled data
- database
- relevance feedback
- learning process
- multiscale
- high level
- case study
- neural network