Feature Selection Using SVM Probabilistic Outputs.
Kai Quan ShenChong Jin OngXiao Ping LiHui ZhengEinar P. V. Wilder-SmithPublished in: ICONIP (1) (2006)
Keyphrases
- feature selection
- support vector
- support vector machine
- support vector machine svm
- knn
- feature space
- multi class
- selected features
- feature selection algorithms
- bayes classifier
- text categorization
- mutual information
- machine learning
- feature ranking
- svm classifier
- text classification
- classification accuracy
- probabilistic model
- k nearest neighbor
- generative model
- dimensionality reduction
- feature subset
- support vector classification
- classification performances
- input features
- feature set
- gene selection
- fold cross validation
- information gain
- classification models
- model selection
- microarray data
- naive bayes
- hyperplane
- logistic regression
- method for feature selection
- high dimension
- imbalanced data
- svm classification
- neural network
- bayesian networks
- kernel function
- discriminative features
- feature weighting
- maximum margin
- multiple kernel learning
- training set
- multi class classification
- feature vectors
- uncertain data