Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds.
Hieu D. NguyenMohammed Sarosh KhanNicholas KaegiShen-Shyang HoJonathan MooreLogan BorysLucas LavalvaPublished in: ICTAI (2021)
Keyphrases
- ensemble learning
- error bounds
- error correcting output codes
- base classifiers
- generalization ability
- ensemble classifier
- multi class
- ensemble methods
- binary classifiers
- decision trees
- class labels
- pattern recognition
- machine learning
- benchmark datasets
- support vector machine
- feature extraction
- classification accuracy
- feature selection
- unlabeled data
- theoretical analysis
- training samples
- support vector machine svm
- random forest
- concept drift
- classification algorithm
- training set
- learning algorithm
- feature space
- feature vectors
- test data
- cross validation
- supervised learning
- naive bayes
- feature set
- support vector
- neural network
- cost sensitive
- learning problems
- machine learning methods
- active learning
- non stationary
- labeled data
- unsupervised learning
- knn