Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning.
Mirko PolatoFabio AiolliPublished in: AAAI (2019)
Keyphrases
- rule learning
- preference learning
- subgroup discovery
- rule sets
- inductive logic programming
- gaussian processes
- decision rules
- classification rules
- ordinal regression
- feature vectors
- pairwise comparison
- inductive learning
- support vector
- recommender systems
- information retrieval
- active learning
- fuzzy rules
- learning classifier systems
- decision trees
- learning algorithm