An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining.
Ryan J. UrbanowiczGediminas BertasiusJason H. MoorePublished in: PPSN (2014)
Keyphrases
- learning classifier systems
- supervised learning
- rule discovery
- data mining
- machine learning
- classifier systems
- supervised machine learning
- unsupervised learning
- rule learning
- reinforcement learning
- rule sets
- training set
- decision rules
- text classification
- pattern recognition
- classification accuracy
- class labels
- semi supervised learning
- support vector machine
- support vector
- genetic algorithm
- feature selection
- relational reinforcement learning
- association rule mining
- classification algorithm
- computational intelligence
- text mining
- semi supervised
- knowledge discovery
- active learning
- error rate
- structured data
- data mining algorithms
- classification rules
- real valued
- preprocessing
- training data
- decision trees
- decision making
- learning algorithm
- real world