Interpretable Feature Construction for Time Series Extrinsic Regression.
Dominique GayAlexis BonduVincent LemaireMarc BoulléPublished in: PAKDD (1) (2021)
Keyphrases
- feature construction
- genetic programming
- data representation
- machine learning
- concept learning
- decision trees
- rule learning
- classification rules
- feature selection
- supervised learning
- model selection
- non stationary
- dimension reduction
- dimensionality reduction
- support vector
- rule sets
- data mining tasks
- gaussian processes
- data sets