Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection.
Xiaoguang WangHang ShaoNathalie JapkowiczStan MatwinXuan LiuAlex BourqueBao NguyenPublished in: ICMLA (2) (2012)
Keyphrases
- cost sensitive
- misclassification costs
- unbalanced data
- support vector
- cost sensitive learning
- support vector machine svm
- multi class
- support vector machine
- class distribution
- feature selection
- training examples
- feature vectors
- machine learning
- classification algorithm
- knn
- class imbalance
- k nearest neighbor
- change detection
- training data