Boosting with Adaptive Sampling for Multi-class Classification.
Jianhua ChenPublished in: ICMLA (2015)
Keyphrases
- multi class classification
- adaptive sampling
- multi class boosting
- multi class
- monte carlo
- boosting algorithms
- binary classification
- random sampling
- support vector
- base classifiers
- multi task learning
- cost sensitive
- ensemble methods
- feature selection
- learning algorithm
- learning problems
- multi label
- text categorization
- binary classifiers
- pairwise
- sampling methods
- control charts
- feature extraction