Symbolic regression driven by training data and prior knowledge.
Jirí KubalíkErik DernerRobert BabuskaPublished in: GECCO (2020)
Keyphrases
- prior knowledge
- symbolic regression
- training data
- genetic programming
- gene expression programming
- grammatical evolution
- parameter optimization
- software package
- prior information
- evolutionary computation
- labeled data
- bayesian framework
- fitness function
- regression problems
- training set
- learning algorithm
- training examples
- unlabeled data
- supervised learning
- decision trees
- data sets
- test data
- training samples
- classification accuracy
- evolutionary algorithm
- class labels
- naive bayes