Clustering Model Selection for Reduced Support Vector Machines.
Lih-Ren JenYuh-Jye LeePublished in: IDEAL (2004)
Keyphrases
- model selection
- learning machines
- cross validation
- hyperparameters
- support vector
- unsupervised learning
- bayesian information criterion
- bayesian learning
- clustering algorithm
- feature selection
- machine learning
- variable selection
- parameter estimation
- sample size
- generalization error
- clustering method
- k means
- statistical learning
- gaussian process
- regression model
- statistical inference
- error estimation
- automatic model selection
- mixture model
- selection criterion
- model selection criteria
- generalization ability
- classification accuracy
- information criterion
- support vector regression
- marginal likelihood
- parameter determination
- density estimation
- kernel function
- leave one out cross validation
- bayesian networks