Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds.
Hieu D. NguyenMohammed Sarosh KhanNicholas KaegiShen-Shyang HoJonathan MooreLogan BorysLucas LavalvaPublished in: CoRR (2021)
Keyphrases
- error bounds
- ensemble learning
- error correcting output codes
- generalization ability
- base classifiers
- multi class
- ensemble classifier
- ensemble methods
- classification accuracy
- support vector machine
- binary classifiers
- class labels
- worst case
- pattern recognition
- image classification
- theoretical analysis
- support vector machine svm
- learning problems
- training set
- support vector
- decision trees
- feature selection
- random forest
- base learners
- training samples
- machine learning methods
- cross validation
- feature extraction
- learning algorithm
- benchmark datasets
- concept drift
- machine learning algorithms
- class imbalance
- multi class classification
- text classification