Improving genetic programming based symbolic regression using deterministic machine learning.
Ilknur IckeJoshua Clifford BongardPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- symbolic regression
- genetic programming
- machine learning
- gene expression programming
- evolutionary computation
- grammatical evolution
- fitness function
- evolutionary algorithm
- active learning
- regression problems
- genetic algorithm
- feature selection
- decision trees
- machine learning methods
- artificial intelligence
- supervised learning
- machine learning algorithms
- parameter optimization
- software package
- neural network
- learning algorithm
- learning tasks
- computational intelligence
- support vector machine
- multi objective