A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data.
Ali BrayteeWei LiuPaul J. KennedyPublished in: ICONIP (3) (2016)
Keyphrases
- learning strategies
- cost sensitive
- imbalanced data
- class distribution
- feature extraction
- class imbalance
- active learning
- misclassification costs
- multi class
- support vector machine
- cost sensitive learning
- feature selection
- feature vectors
- minority class
- sampling methods
- base classifiers
- naive bayes
- principal component analysis
- support vector machine svm
- cost sensitive boosting
- random sampling
- feature space
- dimensionality reduction
- svm classifier
- face recognition
- decision trees
- ensemble methods
- feature set
- unlabeled data
- training data
- semi supervised
- linear classifiers
- learning algorithm
- text classification
- image classification
- linear regression
- high dimensionality
- multi label