Three-parameter sequential minimal optimization for support vector machines.
Yih-Lon LinJer-Guang HsiehHsu-Kun WuJyh-Horng JengPublished in: Neurocomputing (2011)
Keyphrases
- sequential minimal optimization
- support vector
- learning machines
- large margin classifiers
- support vector machine
- radial basis function
- support vector regression
- quadratic programming
- kernel parameters
- kernel function
- kernel methods
- feature selection
- cross validation
- svm classifier
- hyperplane
- hyperparameters
- support vector machine svm
- knn
- classification accuracy
- computer vision