Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning.
Mirko PolatoFabio AiolliPublished in: CoRR (2018)
Keyphrases
- rule learning
- preference learning
- subgroup discovery
- ordinal regression
- inductive logic programming
- rule sets
- decision rules
- gaussian processes
- pairwise comparison
- classification rules
- support vector
- feature vectors
- learning algorithm
- decision trees
- learning classifier systems
- recommender systems
- ranking functions
- evolutionary computation
- inductive learning
- text classification
- simulated annealing
- active learning
- prior knowledge
- reinforcement learning
- training data