Multiclass Feature Selection With Kernel Gram-Matrix-Based Criteria.
Mathieu RamonaGaël RichardBertrand DavidPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- multi class
- gram matrix
- feature selection
- kernel function
- positive definite
- support vector machine
- kernel pca
- feature space
- support vector
- binary classification
- multi task
- pairwise
- text categorization
- text classification
- cost sensitive
- dimensionality reduction
- feature set
- kernel methods
- kernel matrix
- covariance matrix
- base classifiers
- classification accuracy
- machine learning
- kernel principal component analysis
- kernel learning
- data sets
- semi supervised
- high dimensionality
- feature vectors
- feature extraction
- principal component analysis
- rows and columns