Cost-sensitive sample shifting in feature space.
Zhenchong ZhaoXiaodan WangChongming WuLei LeiPublished in: Pattern Anal. Appl. (2020)
Keyphrases
- cost sensitive
- feature space
- multi class
- cost sensitive learning
- misclassification costs
- binary classification
- support vector machine
- cost sensitive classification
- active learning
- class distribution
- high dimensional
- naive bayes
- principal component analysis
- class imbalance
- kernel function
- mean shift
- boosting algorithms
- feature extraction
- input space
- classification accuracy
- feature vectors
- training set
- kernel methods
- high dimensionality
- sample size
- training samples
- dimensionality reduction
- confidence weighted
- decision trees
- cost sensitive boosting
- test data
- multi label
- cross validation