Machine learning of symbolic compositional rules with genetic programming: dissonance treatment in Palestrina.
Torsten AndersBenjamin IndenPublished in: PeerJ Comput. Sci. (2019)
Keyphrases
- genetic programming
- machine learning
- classification rules
- grammar guided genetic programming
- feature construction
- fitness function
- symbolic regression
- evolutionary computation
- gene expression programming
- rule sets
- fuzzy rule based systems
- evolutionary algorithm
- supervised learning
- feature selection
- learning algorithm
- model selection
- learning systems
- natural language processing
- information extraction
- artificial intelligence
- decision trees
- neural network
- learning classifier systems
- inductive logic programming
- computational intelligence
- regression problems
- rule learning
- induction algorithms
- pattern recognition
- financial forecasting
- rule induction algorithm
- reinforcement learning
- knowledge discovery in databases
- computer science
- production rules
- learning problems
- learning tasks
- kernel methods
- association rules
- active learning
- machine learning methods
- knowledge discovery
- data sets
- machine learning algorithms
- semi supervised learning
- text classification