MCs Detection Approach Using Bagging and Boosting Based Twin Support Vector Machine.
Xinsheng ZhangXinbo GaoMinghu WangPublished in: SMC (2009)
Keyphrases
- support vector machine
- ensemble methods
- ensemble learning
- ensemble classifier
- base classifiers
- majority voting
- training set
- randomized trees
- ensemble classification
- machine learning
- variance reduction
- random forests
- decision stumps
- gradient boosting
- generalization ability
- multiple classifier systems
- decision trees
- feature selection
- object detection
- detection algorithm
- false positives
- svm classifier
- random forest
- weak classifiers
- cost sensitive
- base learners
- decision forest
- learning algorithm
- boosting algorithms
- tree induction
- decision tree ensembles
- combining multiple
- support vector
- kernel methods
- machine learning methods
- prediction accuracy
- feature vectors
- kernel function
- detection method
- data sets
- training data
- knn
- multi class
- k nearest neighbor
- adaboost algorithm
- hyperplane
- decision boundary
- meta learning