Genetic Programming for Interpretable and Explainable Machine Learning.
Ting HuPublished in: GPTP (2022)
Keyphrases
- genetic programming
- machine learning
- classification rules
- feature construction
- fitness function
- evolutionary computation
- symbolic regression
- evolutionary algorithm
- machine learning methods
- inductive learning
- natural language processing
- pattern recognition
- knowledge acquisition
- artificial intelligence
- gene expression programming
- financial forecasting
- regression problems
- decision trees
- feature selection
- learning algorithm
- machine learning algorithms
- databases
- grammar guided genetic programming
- knowledge representation
- reinforcement learning
- text classification
- data mining
- genetic algorithm
- supervised learning
- information extraction
- knowledge discovery
- hyper heuristics
- machine learning approaches
- real time
- evolutionary approaches
- neural network
- supervised machine learning
- machine learning and data mining
- data analysis
- learning classifier systems
- association rules
- learning systems
- text mining
- semi supervised learning
- model selection
- computational intelligence
- open source