Evaluating Feature Selection for SVMs in High Dimensions.
Roland NilssonJosé M. PeñaJohan BjörkegrenJesper TegnérPublished in: ECML (2006)
Keyphrases
- high dimensions
- feature selection
- support vector
- high dimensional data
- high dimensional
- dimensionality reduction
- multi class
- text categorization
- selected features
- high dimensional spaces
- feature ranking
- support vector machine
- microarray classification
- text classification
- feature space
- machine learning
- feature selection algorithms
- feature extraction
- high dimensionality
- knn
- classification accuracy
- model selection
- multi task
- poor quality
- bayes classifier
- kernel function
- support vector machine svm
- nearest neighbor
- linear svm
- feature subset
- texture analysis
- data sets
- image features
- multiresolution
- neural network