Feature selection via sensitivity analysis of SVM probabilistic outputs.
Kai Quan ShenChong Jin OngXiao Ping LiEinar P. V. Wilder-SmithPublished in: Mach. Learn. (2008)
Keyphrases
- sensitivity analysis
- feature selection
- support vector
- managerial insights
- support vector machine
- multi class
- support vector machine svm
- text categorization
- knn
- influence diagrams
- feature space
- text classification
- selected features
- machine learning
- bayes classifier
- mutual information
- variational inequalities
- probabilistic model
- small sample
- svm classifier
- feature ranking
- feature extraction
- input features
- k nearest neighbor
- feature set
- model selection
- dimensionality reduction
- feature selection algorithms
- classification accuracy
- classification performances
- fold cross validation
- training set
- linear svm
- standard svm
- naive bayes
- multiple kernel learning
- belief networks
- feature vectors
- gene selection
- decision variables
- decision trees
- special case
- computational complexity