Estimation of Optimal Sample Size of Decision Forest with SVM Using Embedded Cross-Validation Method.
Faisal ZamanHideo HirosePublished in: ACIIDS (2) (2011)
Keyphrases
- cross validation
- model selection
- sample size
- cross validated
- decision forest
- support vector
- hyperparameters
- support vector machine svm
- information criterion
- training set
- small sample
- ls svm
- objective function
- machine learning methods
- generalization error
- support vector machine
- data sets
- selection criterion
- classification algorithm
- closed form
- covariance matrix
- pairwise
- svm classifier
- regression problems
- upper bound
- probability model
- artificial neural networks
- optimality conditions
- computational complexity
- decision trees