The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines.
Xiaoxing YangKe TangXin YaoPublished in: IDEAL (2009)
Keyphrases
- minimum redundancy
- support vector
- feature selection
- learning machines
- large margin classifiers
- classification accuracy
- support vector machine
- sparse data
- reduced set
- logistic regression
- kernel methods
- cross validation
- svm classifier
- loss function
- kernel function
- high dimensional
- neural network
- radial basis function
- support vectors
- multi class
- compressive sensing
- training data
- information retrieval