Boosting SVM classifiers by ensemble.
Yan-Shi DongKe-Song HanPublished in: WWW (Special interest tracks and posters) (2005)
Keyphrases
- svm classifier
- ensemble methods
- ensemble learning
- final classification
- weak learners
- support vector machine
- base classifiers
- training set
- ensemble classifier
- linear classifiers
- ensemble classification
- weak classifiers
- support vector machine svm
- support vector
- image classification
- generalization ability
- majority voting
- feature subset
- feature vectors
- feature selection
- learning algorithm
- semi supervised
- kernel function
- decision trees
- base learners
- binary classifiers
- prediction accuracy
- random forests
- randomized trees
- radial basis function kernel
- weighted voting
- svm classification
- negative correlation learning
- multi class classification
- multi class
- support vectors
- combining multiple
- machine learning methods
- boosting algorithms
- machine learning
- random forest
- binary classification problems
- multiple classifier systems
- feature extraction
- decision tree ensembles
- decision function
- concept drift
- training data
- k nearest neighbor
- supervised learning
- naive bayes
- classification accuracy
- ls svm
- loss function