Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System.
Hiroki ShiraishiMasakazu TadokoroYohei HayamizuYukiko FukumotoHiroyuki SatoKeiki TakadamaPublished in: CEC (2021)
Keyphrases
- learning classifier systems
- high dimensional
- rule discovery
- prediction accuracy
- rule sets
- rule learning
- relational reinforcement learning
- real valued
- evolutionary computation
- evolutionary algorithm
- genetic algorithm
- neural network
- reinforcement learning
- dimensionality reduction
- nearest neighbor
- decision rules
- probabilistic model
- pattern recognition
- knowledge base
- decision making
- machine learning