Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy.
Xinping WuHongmei ChenTianrui LiHao ChenChuan LuoPublished in: ISKE (2021)
Keyphrases
- minimum redundancy
- multi label
- feature selection
- text categorization
- semi supervised
- multi label classification
- text classification
- multi label learning
- semi supervised learning
- unlabeled data
- labeled data
- image annotation
- binary classification
- image classification
- graph cuts
- multi instance
- learning tasks
- label propagation
- feature extraction
- dimensionality reduction
- supervised learning
- multi class
- class labels
- classification accuracy
- feature selections
- support vector
- protein function prediction
- pairwise
- feature subset
- hierarchical text categorization
- feature space
- knn
- active learning
- microarray data
- high dimensionality
- k nearest neighbor
- unsupervised learning
- multiple labels
- support vector machine
- gene expression data