ML-SLSTSVM: a new structural least square twin support vector machine for multi-label learning.
Meisam Azad-ManjiriAli AmiriAlireza Saleh SedghpourPublished in: Pattern Anal. Appl. (2020)
Keyphrases
- multi label learning
- least squares
- support vector machine
- multi label
- maximum likelihood
- feature selection
- svm classifier
- training procedure
- scene classification
- support vector
- support vector machine svm
- multi class
- semi supervised
- unlabeled data
- label propagation
- text categorization
- labeled data
- collective classification
- feature space
- training data
- kernel methods
- binary classification
- graph cuts
- generalization ability
- knn
- machine learning
- kernel function
- semi supervised learning
- image classification
- feature vectors