Aggressive Dimensionality Reduction with Reinforcement Local Feature Selection for Text Categorization.
Wenbin ZhengYuntao QianPublished in: AICI (1) (2010)
Keyphrases
- feature selection for text categorization
- dimensionality reduction
- text categorization
- reinforcement learning
- feature selection
- information gain
- pattern recognition and machine learning
- low dimensional
- high dimensional data
- high dimensional
- feature extraction
- data representation
- data points
- linear dimensionality reduction
- principal component analysis
- pattern recognition
- structure preserving
- principal components
- linear discriminant analysis
- unsupervised learning
- high dimensionality
- manifold learning
- random projections
- dimensionality reduction methods
- feature space
- kernel pca
- agent receives
- semi supervised dimensionality reduction
- machine learning
- nonlinear dimensionality reduction
- neural network
- nearest neighbor
- semi supervised
- multidimensional scaling
- support vector
- k nearest neighbor