Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine.
Wentao MaoXiaoxia MuYanbin ZhengGuirong YanPublished in: Neural Comput. Appl. (2014)
Keyphrases
- leave one out cross validation
- model selection
- support vector machine
- feature selection
- machine learning
- cross validation
- variable selection
- generalization error
- sample size
- svm classifier
- information criterion
- hyperparameters
- support vector machine svm
- support vector
- regression model
- k nearest neighbor
- selection criterion
- kernel function
- learning machines
- feature vectors
- generalization ability
- training data
- kernel methods
- feature space
- training set
- k nearest neighbour
- decision trees
- neural network
- least squares
- support vectors
- knn
- linear combination
- ridge regression