An Embedded Method for Feature Selection Using Kernel Parameter Descent Support Vector Machine.
Haiqing ZhuNing BiJun TanDongjie FanPublished in: PRCV (3) (2018)
Keyphrases
- low cost
- method for feature selection
- support vector machine
- embedded systems
- feature selection
- multi class
- svm classifier
- support vector machine svm
- support vector
- feature space
- small sample
- feature subset
- multi class support vector machines
- feature vectors
- machine learning
- knn
- k nearest neighbor
- training data
- social networks
- hyperplane
- database
- svm classification
- information retrieval
- decision boundary
- image processing
- radial basis function
- kernel methods
- classification algorithm
- feature extraction
- training set