Feature Selection via Concave Minimization and Support Vector Machines.
Paul S. BradleyOlvi L. MangasarianPublished in: ICML (1998)
Keyphrases
- support vector
- feature selection
- learning machines
- large margin classifiers
- objective function
- support vector machine
- classification accuracy
- multi class
- mutual information
- kernel function
- text categorization
- information gain
- hyperplane
- radial basis function
- convex functions
- feature selection algorithms
- feature ranking
- feature subset
- irrelevant features
- support vector classification
- logistic regression
- text classification
- loss function
- selected features
- dimensionality reduction
- binary classification
- generalization ability
- unsupervised learning
- cross validation
- microarray data
- knn
- high dimensionality
- kernel methods
- support vectors
- feature weighting
- feature space
- feature extraction
- machine learning
- maximum margin
- multi class classification
- feature set
- support vector regression
- naive bayes
- training examples
- svm classifier