ReliefF for Multi-label Feature Selection.
Newton SpolaôrEverton Alvares ChermanMaria Carolina MonardHuei Diana LeePublished in: BRACIS (2013)
Keyphrases
- multi label
- feature selections
- text categorization
- feature selection
- information gain
- multi label classification
- text classification
- image classification
- image annotation
- graph cuts
- feature subset
- multi label learning
- feature set
- binary classification
- learning tasks
- multi instance
- class labels
- naive bayes
- multiple labels
- classification accuracy
- labeled data
- mutual information
- label space
- support vector
- k nearest neighbor
- hierarchical text categorization
- machine learning
- feature extraction
- unlabeled data
- model selection
- supervised learning
- multi class
- support vector machine
- knn