Feature selection SVM through Universum and its applications on text classification Feature selection SVM through Universum.
Junshan YinChunna LiPublished in: SPCNC (2023)
Keyphrases
- dimension reduction
- feature selection
- text classification
- binary classification
- support vector
- semi supervised learning
- unbalanced data
- maximum margin
- support vector machine
- labeled data
- multi class
- naive bayes
- text categorization
- unsupervised learning
- misclassification costs
- feature extraction
- multi label
- text data
- feature space
- cost sensitive
- standard svm
- dimensionality reduction
- machine learning
- unlabeled data
- multi class classification
- support vector machine svm
- text classifiers
- feature set
- multi task
- hyperplane
- selected features
- knn
- learning problems
- classification accuracy
- semi definite programming
- svm classifier
- model selection
- feature weighting
- feature reduction
- svm classification
- single class
- support vectors
- class imbalance
- transfer learning
- multiple kernel learning
- kernel function
- target domain
- generalization ability
- k nearest neighbor
- ridge regression
- semi supervised
- linear svm
- feature subset
- kernel methods
- data mining