Semi-supervised multi-label feature selection with adaptive structure learning and manifold learning.
Sitao LvShengfei ShiHongzhi WangFeng LiPublished in: Knowl. Based Syst. (2021)
Keyphrases
- manifold learning
- multi label
- semi supervised
- structure learning
- text categorization
- multi label classification
- feature selection
- semi supervised learning
- transfer learning
- unlabeled data
- text classification
- labeled data
- bayesian networks
- graphical models
- dimensionality reduction
- feature extraction
- image classification
- dimension reduction
- learning tasks
- unsupervised learning
- graph cuts
- supervised learning
- pairwise
- parameter estimation
- knn
- class labels
- active learning
- low dimensional
- network structure
- pairwise constraints
- multi task
- max margin
- naive bayes
- k nearest neighbor
- feature set
- probabilistic model
- sparse representation
- high dimensional data
- generative model
- high dimensionality
- markov networks
- labeled and unlabeled data
- data sets
- multi class
- support vector
- computer vision