Data Aggregation for Reducing Training Data in Symbolic Regression.
Lukas KammererGabriel KronbergerMichael KommendaPublished in: EUROCAST (1) (2019)
Keyphrases
- data aggregation
- symbolic regression
- training data
- genetic programming
- wireless sensor networks
- scheme for wireless sensor networks
- gene expression programming
- sensor networks
- evolutionary computation
- energy efficient
- parameter optimization
- test data
- training set
- decision trees
- fitness function
- software package
- supervised learning
- data sets
- energy consumption
- training samples
- classification accuracy
- learning algorithm
- evolutionary algorithm
- regression problems
- differential evolution
- support vector machine
- active learning