Machine learning of symbolic compositional rules with genetic programming: Dissonance treatment in Palestrina.
Torsten AndersBenjamin IndenPublished in: PeerJ Prepr. (2019)
Keyphrases
- genetic programming
- machine learning
- classification rules
- grammar guided genetic programming
- evolutionary computation
- fitness function
- symbolic regression
- gene expression programming
- feature construction
- evolutionary algorithm
- learning classifier systems
- rule sets
- fuzzy rule based systems
- rule extraction
- computer vision
- learning algorithm
- rule learning
- machine learning approaches
- data mining
- neural network
- supervised learning
- feature selection
- decision rules
- machine learning methods
- knowledge acquisition
- rule induction algorithm
- financial forecasting
- information extraction
- neural learning
- artificial intelligence
- pattern recognition
- regression problems
- genetic algorithm
- reinforcement learning
- induction algorithms
- data analysis
- machine learning algorithms
- search space
- inductive logic programming
- semi supervised
- learning tasks
- background knowledge