Multi-label feature selection based on manifold regularization and imbalance ratio.
Haohan LuHongmei ChenTianrui LiHao ChenChuan LuoPublished in: Appl. Intell. (2022)
Keyphrases
- multi label
- manifold regularization
- text categorization
- semi supervised learning
- feature selection
- multi label classification
- unlabeled data
- dimension reduction
- text classification
- semi supervised
- labeled data
- binary classification
- class imbalance
- class distribution
- machine learning
- learning tasks
- image classification
- unsupervised learning
- feature extraction
- cost sensitive
- active learning
- graph cuts
- supervised learning
- support vector
- naive bayes
- class labels
- convex relaxation
- learning problems
- high dimensionality
- dimensionality reduction
- feature space
- learning algorithm
- graph classification
- knn
- support vector machine
- multi class
- data mining
- high dimensional
- classification accuracy
- data points
- model selection