Why averaging classifiers can protect against overfitting.
Yoav FreundYishay MansourRobert E. SchapirePublished in: AISTATS (2001)
Keyphrases
- decision trees
- training data
- unseen data
- naive bayes
- support vector
- training set
- multiple classifiers
- training samples
- linear classifiers
- supervised classification
- classification algorithm
- classifier combination
- cross validation
- class labels
- classification process
- generalization error
- classification models
- machine learning methods
- test set
- feature set
- artificial neural networks
- trained classifiers
- accurate classifiers
- neural network
- classification systems
- classification rate
- machine learning algorithms
- feature selection