Feature selection for support vector machines with RBF kernel.
Quanzhong LiuChi-Hau ChenYang ZhangZhengguo HuPublished in: Artif. Intell. Rev. (2011)
Keyphrases
- rbf kernel
- feature selection
- support vector
- support vector machine
- radial basis function
- feature space
- kernel function
- text categorization
- cross validation
- classification accuracy
- positive definite
- feature set
- text classification
- machine learning
- support vector machine svm
- feature extraction
- multiple kernel learning
- dimensionality reduction
- data sets
- k nearest neighbor
- feature vectors
- high dimensional
- knn
- model selection
- loss function
- svm classifier
- training data
- reproducing kernel hilbert space
- learning algorithm