Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data.
Zhehao ZhongShen ZhaoRuixuan WangPublished in: PRCV (2) (2022)
Keyphrases
- imbalanced data
- prior knowledge
- classification models
- class labels
- support vector machine
- decision trees
- imbalanced datasets
- class imbalance
- imbalanced data sets
- classification accuracy
- feature selection
- class distribution
- training set
- decision boundary
- training data
- support vector
- classification algorithm
- feature vectors
- image classification
- pattern classification
- feature extraction
- random forest
- ensemble classifier
- ensemble methods
- sampling methods
- support vector machine svm
- feature set
- classification error
- feature space
- pattern recognition
- ensemble learning
- naive bayes
- linear regression
- benchmark datasets