A Theoretical Analysis of Bagging as a Linear Combination of Classifiers.
Giorgio FumeraFabio RoliAlessandra SerrauPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2008)
Keyphrases
- linear combination
- theoretical analysis
- weak classifiers
- ensemble learning
- majority voting
- decision trees
- ensemble classifier
- voting methods
- randomized trees
- classifier ensemble
- individual classifiers
- training set
- small number
- decision tree classifiers
- imbalanced data
- basis functions
- multiple kernel learning
- test sample
- ensemble methods
- classification models
- support vector
- training data
- ensemble members
- low rank
- learning machines
- machine learning
- sparse coding
- locally linear
- linear classifiers
- base classifiers
- svm classifier
- class labels
- machine learning algorithms
- feature selection