Feature selection in the Laplacian support vector machine.
Sangjun LeeChangyi ParkJa-Yong KooPublished in: Comput. Stat. Data Anal. (2011)
Keyphrases
- feature selection
- support vector machine
- semi supervised feature selection
- support vector
- multi class
- svm classifier
- small sample
- feature space
- text categorization
- text classification
- machine learning
- feature selection algorithms
- support vector machine svm
- mutual information
- feature set
- selected features
- k nearest neighbor
- feature ranking
- high dimensionality
- decision boundary
- classification accuracy
- classification performances
- generalization ability
- kernel methods
- feature weighting
- hyperplane
- feature subset
- radial basis function
- data sets
- kernel function
- model selection
- knn
- microarray data
- feature extraction
- recursive feature elimination
- feature reduction
- svm classification
- edge detection
- dimensionality reduction
- discriminative features
- ensemble classifier
- maximum margin
- scale space
- irrelevant features
- support vector regression
- high dimensional
- classification method
- gene expression data
- automated text categorization