Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods.
Giorgio ValentiniThomas G. DietterichPublished in: J. Mach. Learn. Res. (2004)
Keyphrases
- ensemble methods
- bias variance analysis
- support vector
- generalization ability
- prediction accuracy
- binary classification
- learning machines
- decision trees
- machine learning
- support vector machine
- ensemble learning
- random forests
- benchmark datasets
- machine learning methods
- base classifiers
- svm classifier
- random forest
- bias variance
- logistic regression
- majority voting
- drifting concepts
- cross validation
- kernel function
- bootstrap sampling
- feature selection
- data sets
- loss function
- ensemble classifier
- base learners
- ensemble feature selection
- decision tree ensembles