Genetic Programming with Rademacher Complexity for Symbolic Regression.
Christian RaymondQi ChenBing XueMengjie ZhangPublished in: CEC (2019)
Keyphrases
- symbolic regression
- genetic programming
- rademacher complexity
- data dependent
- risk bounds
- error bounds
- grammatical evolution
- fitness function
- generalization error
- evolutionary computation
- gene expression programming
- evolutionary algorithm
- reproducing kernel hilbert space
- software package
- kernel methods
- genetic algorithm
- machine learning
- regression problems
- training data
- data sets
- open source
- learning algorithm
- neural network