Multiclass vertebral fracture classification using ensemble probability SVM with multi-feature selection.
Liyuan ZhangJiashi ZhaoHuamin YangWeili ShiYu MiaoFei HeWei HeYanfang LiKe ZhangKensaku MoriZhengang JiangPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- multi class
- feature selection
- support vector machine
- multi class classification
- ls svms
- multiclass classification
- binary classification problems
- multiclass support vector machines
- support vector
- multiclass problems
- classification accuracy
- support vector machine svm
- cost sensitive classification
- base classifiers
- binary classifiers
- binary classification
- cost sensitive
- multiple classes
- svm classifier
- text classification
- ensemble classifier
- single class
- classification models
- pairwise
- error correcting output codes
- machine learning
- feature extraction
- feature set
- multi class boosting
- binary classification tasks
- feature space
- generalization ability
- kernel fisher
- model selection
- feature selection algorithms
- feature subset
- training set
- high dimensionality
- text categorization
- regression problems
- ensemble learning
- multiclass svm
- radial basis function kernel
- dimensionality reduction
- learning algorithm
- decision boundary
- knn
- multi class problems
- svm classification
- multi task
- support vectors
- image classification
- supervised learning
- multiclass learning
- naive bayes