Random Forest for the Contextual Bandit Problem.
Raphaël FéraudRobin AllesiardoTanguy UrvoyFabrice ClérotPublished in: AISTATS (2016)
Keyphrases
- random forest
- contextual bandit
- upper confidence bound
- decision trees
- news recommendation
- random forests
- feature set
- multi label
- ensemble methods
- ensemble learning
- fold cross validation
- feature importance
- decision tree learning algorithms
- benchmark datasets
- base classifiers
- active learning
- semi supervised learning
- ensemble classifier
- news items
- information extraction
- training data
- machine learning