Boosting as a Regularized Path to a Maximum Margin Classifier.
Saharon RossetJi ZhuTrevor HastiePublished in: J. Mach. Learn. Res. (2004)
Keyphrases
- maximum margin
- learning algorithm
- support vector
- support vector machine
- multiple kernel learning
- discriminative learning
- feature selection
- weak classifiers
- hyperplane
- svm classifier
- training data
- linear classifiers
- multi task
- markov networks
- feature space
- decision trees
- training examples
- training samples
- pattern classification
- generalization error
- learning tasks
- boosting algorithms
- maximum likelihood
- feature set
- active learning
- combining multiple
- machine learning algorithms
- learning problems
- classification algorithm
- data sets
- machine learning
- kernel function
- linear combination
- supervised learning
- binary classifiers
- feature vectors