A bipartite matching-based feature selection for multi-label learning.
Amin HashemiMohammad Bagher DowlatshahiHossein Nezamabadi-pourPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- multi label learning
- bipartite matching
- feature selection
- multi label
- text categorization
- maximum weight
- minimum cost flow
- text classification
- labeled data
- classification accuracy
- dimensionality reduction
- label propagation
- feature space
- semi supervised
- unlabeled data
- scene classification
- knn
- multi label classification
- feature extraction
- random walk
- support vector machine
- semi supervised learning
- bipartite graph
- high dimensional
- object recognition