Multi-label feature selection based on logistic regression and manifold learning.
Yao ZhangYingcang MaXiaofei YangPublished in: Appl. Intell. (2022)
Keyphrases
- logistic regression
- manifold learning
- multi label
- text categorization
- feature selection
- naive bayes
- dimensionality reduction
- text classification
- support vector
- dimension reduction
- feature extraction
- multi label classification
- low dimensional
- feature space
- image classification
- high dimensional
- learning tasks
- binary classification
- loss function
- graph cuts
- machine learning
- random forests
- decision trees
- semi supervised
- high dimensionality
- high dimensional data
- knn
- semi supervised learning
- class labels
- image processing
- classification accuracy
- feature set
- sparse representation
- principal component analysis
- support vector machine
- pairwise
- k nearest neighbor
- multi task
- model selection
- multi class
- transfer learning
- supervised learning
- linear discriminant analysis
- unlabeled data
- neural network