The disputed federalist papers: SVM feature selection via concave minimization.
Glenn FungPublished in: Richard Tapia Celebration of Diversity in Computing Conference (2003)
Keyphrases
- feature selection
- support vector
- objective function
- support vector machine
- special issue
- knn
- text categorization
- support vector machine svm
- selected features
- multi class
- bayes classifier
- mutual information
- convex functions
- feature space
- classification accuracy
- feature ranking
- small sample
- feature selection algorithms
- text classification
- machine learning
- classification performances
- feature subset
- svm rfe
- invited talk
- feature set
- svm classifier
- high dimension
- high dimensionality
- dimensionality reduction
- naive bayes
- support vectors
- feature extraction
- ensemble classifier
- irrelevant features
- feature reduction
- sequential forward selection
- papers published
- feature weighting
- multi task
- microarray data
- k nearest neighbor
- model selection
- feature vectors
- selected papers
- gene selection
- support vector regression
- imbalanced data
- gene expression data
- single feature
- classification algorithm
- kernel function