Feature selection by Universum embedding.
Chun-Na LiLing-Wei HuangYuan-Hai ShaoTingting GuoYu MaoPublished in: Pattern Recognit. (2024)
Keyphrases
- feature selection
- semi supervised learning
- binary classification
- maximum margin
- unbalanced data
- text categorization
- support vector
- multi class
- semi definite programming
- unsupervised learning
- misclassification costs
- support vector machine
- machine learning
- unlabeled data
- naive bayes
- labeled data
- semi supervised
- feature set
- feature space
- cost sensitive
- multi task
- classification accuracy
- labeled samples
- text classification
- feature subset
- learning problems
- selected features
- target domain
- feature extraction
- dimensionality reduction
- hyperplane
- training data
- class imbalance
- metric learning
- kernel methods
- transfer learning
- active learning
- class distribution
- ensemble methods
- multiple kernel learning
- reinforcement learning
- svm classifier
- kernel learning
- supervised learning
- learning algorithm