RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression.
Vivien KrausKhalid BenabdeslemSeif-Eddine BenkabouDou El Kefel MansouriBruno CanitiaPublished in: ICTAI (2023)
Keyphrases
- multi label
- text categorization
- semi supervised
- multi label classification
- feature selection
- multi label learning
- text classification
- semi supervised learning
- graph cuts
- unlabeled data
- binary classification
- image annotation
- image classification
- feature selections
- learning tasks
- labeled data
- support vector
- hierarchical text categorization
- model selection
- machine learning
- multi class
- class labels
- protein function prediction
- feature extraction
- active learning
- unsupervised learning
- supervised learning
- multi task
- feature space
- meta level
- naive bayes
- max margin
- knn