Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework.
Yijun SunSinisa TodorovicJian LiPublished in: Pattern Recognit. Lett. (2007)
Keyphrases
- multi class
- error correcting output codes
- binary classification problems
- boosting algorithms
- base classifiers
- multiple instance learning
- binary classifiers
- object detection
- multi class classification
- base learners
- cost sensitive
- learning algorithm
- support vector
- pairwise
- support vector machine
- binary classification
- feature selection
- multi class boosting
- multi task
- ensemble methods
- loss function
- decision trees
- classification algorithm
- machine learning algorithms
- information gain
- learning problems