A Scalable Boosting Learner for Multi-class Classification Using Adaptive Sampling.
Jianhua ChenPublished in: AMT (2014)
Keyphrases
- multi class classification
- adaptive sampling
- multi class boosting
- multi class
- monte carlo
- binary classification
- random sampling
- boosting algorithms
- learning process
- support vector
- ensemble methods
- learning algorithm
- cost sensitive
- learning environment
- binary classifiers
- multi task learning
- base classifiers
- e learning
- feature selection
- data sets
- generalization error
- prediction accuracy
- support vector machine
- active learning
- control charts
- feature vectors
- machine learning