QPSO-Based Hyper-Parameters Selection for LS-SVM Regression.
Lincheng ZhouHui-Zhong YangChun-Bo LiuPublished in: ICNC (2) (2008)
Keyphrases
- ls svm
- hyperparameters
- model selection
- cross validation
- support vector
- gaussian processes
- rbf neural network
- bayesian inference
- closed form
- gaussian process
- bayesian framework
- least squares
- regression model
- noise level
- variable selection
- maximum a posteriori
- em algorithm
- incremental learning
- random sampling
- prior information
- radial basis function
- sample size
- maximum likelihood
- support vector machine
- parameter estimation
- prediction model
- fault diagnosis
- probabilistic model
- improved algorithm
- input variables
- correlation coefficient
- bp neural network
- data sets
- incomplete data
- genetic algorithm