Symbolic Regression Driven by Training Data and Prior Knowledge.
Jirí KubalíkErik DernerRobert BabuskaPublished in: CoRR (2020)
Keyphrases
- prior knowledge
- symbolic regression
- training data
- genetic programming
- software package
- grammatical evolution
- gene expression programming
- evolutionary computation
- bayesian framework
- prior information
- parameter optimization
- learning algorithm
- evolutionary algorithm
- test data
- labeled data
- generative model
- supervised learning
- neural network
- regression problems
- classification accuracy
- multi objective
- data sets
- training examples
- naive bayes
- unlabeled data
- semi supervised learning
- classification models
- open source
- decision trees