Boosting Based on a Smooth Margin.
Cynthia RudinRobert E. SchapireIngrid DaubechiesPublished in: COLT (2004)
Keyphrases
- boosting algorithms
- soft margin
- training error
- weak hypotheses
- ensemble learning
- support vector
- training set
- loss function
- ensemble methods
- base classifiers
- multi class
- generalization error
- maximum margin
- parameter selection
- feature selection
- weak learners
- machine learning
- cross validation
- database
- piecewise constant
- neural network
- data sets