An experimental bias-variance analysis of SVM ensembles based on resampling techniques.
Giorgio ValentiniPublished in: IEEE Trans. Syst. Man Cybern. Part B (2005)
Keyphrases
- bias variance analysis
- ensemble methods
- generalization ability
- support vector
- support vector machine svm
- support vector machine
- machine learning
- imbalanced data
- ensemble learning
- prediction accuracy
- ensemble classifier
- decision trees
- random forests
- base classifiers
- benchmark datasets
- majority voting
- random forest
- knn
- feature selection
- svm classifier
- learning machines
- learning algorithm
- machine learning methods
- training data
- svm classification
- feature ranking
- kernel function
- classifier ensemble
- training set
- feature subset
- feature vectors
- kernel methods
- multi class
- feature space
- classification algorithm
- decision forest
- bias variance
- classification accuracy
- genetic algorithm ga
- pattern recognition