How boosting the margin can also boost classifier complexity.
Lev ReyzinRobert E. SchapirePublished in: ICML (2006)
Keyphrases
- training error
- weak learners
- weak classifiers
- soft margin
- boosting algorithms
- feature selection
- training set
- support vector
- generalization error
- adaboost algorithm
- ensemble learning
- ensemble classifier
- decision boundary
- learning algorithm
- boosted classifiers
- decision trees
- feature set
- training data
- feature space
- majority voting
- feature extraction
- multiclass classification
- worst case
- face detection
- feature vectors
- multi class
- classification algorithm
- object detection
- discriminative classifiers
- accurate classifiers
- base classifiers
- combining classifiers
- weak hypotheses
- classification method