A Practical and Robust Way to the Optimization of Parameters in RBF Kernel-Based One-Class Classification Support Vector Methods.
Honggang BuJun WangXiubao HuangPublished in: ICNC (1) (2009)
Keyphrases
- support vector
- radial basis function
- cross validation
- significant improvement
- support vector machine
- optimization problems
- optimization methods
- real world
- neural network
- parameter tuning
- density estimation
- artificial neural networks
- rbf neural network
- svm classification
- parameter settings
- kernel methods
- optimization algorithm
- parameter estimation
- least squares
- training data