Recursive Dimension Reduction for semisupervised learning.
Qiaolin YeTongming YinShangbing GaoJiajia JingYu ZhangCui-Ping SunPublished in: Neurocomputing (2016)
Keyphrases
- dimension reduction
- semisupervised learning
- supervised and unsupervised learning
- unsupervised learning
- computational linguistics
- semi supervised learning
- principal component analysis
- feature extraction
- supervised learning
- feature selection
- linear discriminant analysis
- low dimensional
- singular value decomposition
- high dimensional data
- high dimensional
- text classification
- unlabeled data
- cost sensitive
- semi supervised
- co training
- labeled data
- feature space
- cluster analysis
- high dimensionality
- pattern recognition
- training data
- manifold learning
- preprocessing
- clustering algorithm
- image processing
- real world
- pairwise
- neural network
- dimensionality reduction
- multi class