Bagging, Boosting and the Random Subspace Method for Linear Classifiers.
Marina SkurichinaRobert P. W. DuinPublished in: Pattern Anal. Appl. (2002)
Keyphrases
- linear classifiers
- base classifiers
- ensemble methods
- multi class
- generalization error
- ensemble learning
- learning algorithm
- weak classifiers
- ensemble classifier
- decision trees
- hyperplane
- cross validation
- model selection
- training set
- machine learning
- upper bound
- training data
- active learning
- feature selection
- multi task
- naive bayes
- training samples
- lower bound
- hyperparameters
- principal components
- cost sensitive
- sample size
- text categorization
- objective function
- supervised learning
- pairwise
- high dimensional