Boosting with Online Binary Learners for the Multiclass Bandit Problem.
Shang-Tse ChenHsuan-Tien LinChi-Jen LuPublished in: ICML (2014)
Keyphrases
- multi class
- binary classifiers
- multiclass classification
- multiclass learning
- error correcting output codes
- binary classification problems
- boosting algorithms
- base classifiers
- cost sensitive
- multi class svms
- multi class boosting
- multiclass problems
- binary classification
- base learners
- support vector machine
- feature selection
- online learning
- multiple classes
- learning process
- e learning
- multi class classification
- ensemble methods
- ensemble learning
- pairwise
- learning environment
- decision trees
- cost sensitive learning
- data sets
- multi task
- multi class problems
- learning experience
- learning algorithm