Interpretable Feature Construction for Time Series Extrinsic Regression.
Dominique GayAlexis BonduVincent LemaireMarc BoulléPublished in: CoRR (2021)
Keyphrases
- feature construction
- genetic programming
- data representation
- concept learning
- machine learning
- decision trees
- rule learning
- supervised learning
- model selection
- feature selection
- support vector
- non stationary
- search algorithm
- dimension reduction
- neural network
- active learning
- error rate
- singular value decomposition
- rule sets
- subgroup discovery