Support Vector Machine Ensemble with Bagging.
Hyun-Chul KimShaoning PangHong-Mo JeDaijin KimSung Yang BangPublished in: SVM (2002)
Keyphrases
- support vector machine
- ensemble classifier
- imbalanced data
- ensemble methods
- majority voting
- ensemble learning
- base classifiers
- generalization ability
- multi class
- ensemble classification
- ensemble members
- training set
- random forests
- random forest
- ensemble selection
- classifier ensemble
- training data
- support vector machine svm
- svm classifier
- support vector
- feature selection
- learning machines
- decision forest
- decision boundary
- base learners
- machine learning
- prediction accuracy
- feature space
- hyperplane
- kernel methods
- classification algorithm
- negative correlation learning
- binary classification
- randomized trees
- weighted voting
- feature vectors
- decision trees
- cost sensitive
- class label noise
- decision tree ensembles
- neural network
- knn
- feature ranking
- generalization error
- weak learners
- multiple classifier systems
- subspace methods
- benchmark datasets
- class labels
- image classification
- accurate classifiers
- k nearest neighbor
- training samples
- kernel function
- model averaging
- machine learning methods