Model selection for least squares support vector regressions based on small-world strategy.
Wentao MaoGuirong YanLonglei DongDike HuPublished in: Expert Syst. Appl. (2011)
Keyphrases
- model selection
- small world
- least squares
- cross validation
- hyperparameters
- support vector
- parameter estimation
- small world networks
- scale free
- feature selection
- learning machines
- ls svm
- selection criterion
- sample size
- complex networks
- variable selection
- mixture model
- power law
- regression model
- gaussian process
- machine learning
- network structure
- model selection criteria
- bayesian information criterion
- statistical inference
- social networks
- automatic model selection
- marginal likelihood
- kernel methods
- kernel function
- information criterion
- classification accuracy
- bayesian networks
- bayesian methods
- selection criteria
- social network analysis
- maximum likelihood
- support vector machine