New imbalanced bearing fault diagnosis method based on Sample-characteristic Oversampling TechniquE (SCOTE) and multi-class LS-SVM.
Jianan WeiHaisong HuangLiguo YaoYao HuQingsong FanDong HuangPublished in: Appl. Soft Comput. (2021)
Keyphrases
- multi class
- ls svm
- support vector machine
- minority class
- class imbalance
- cost sensitive
- binary classification problems
- binary classifiers
- least squares
- multi class problems
- binary classification
- variable selection
- svm classifier
- class distribution
- generalization ability
- improved algorithm
- multiclass classification
- multiclass problems
- multi class classification
- pairwise
- prediction model
- support vector
- cross validation
- input variables
- support vector machine svm
- cost sensitive learning
- multi task
- feature selection
- decision trees
- machine learning
- perceptron algorithm
- feature vectors
- correlation coefficient
- active learning
- probabilistic model
- k nearest neighbor
- kernel function
- neural network
- base classifiers