L1-norm Laplacian support vector machine for data reduction in semi-supervised learning.
Xiaohan ZhengLi ZhangZhiqiang XuPublished in: Neural Comput. Appl. (2023)
Keyphrases
- semi supervised learning
- data reduction
- support vector machine
- feature selection
- training data
- machine learning
- semi supervised
- data compression
- unlabeled data
- graph laplacian
- instance selection
- labeled data
- multi class
- unsupervised learning
- supervised learning
- classification accuracy
- data analysis
- support vector
- classification rules
- preprocessing
- knowledge discovery
- co training
- model selection
- rough set theory
- semi supervised classification
- kernel methods
- training set
- manifold regularization
- decision boundary
- high dimensionality
- active learning
- text categorization
- kernel function
- data mining
- multiple kernel learning
- dimensionality reduction
- classification algorithm
- labeled and unlabeled data
- text classification
- k nearest neighbor
- singular value decomposition
- training examples
- clustering algorithm
- pattern recognition
- data quality
- input data
- feature set
- feature extraction
- transfer learning