Approximate l-Fold Cross-Validation with Least Squares SVM and Kernel Ridge Regression.
Richard E. EdwardsHao ZhangLynne E. ParkerJoshua R. NewPublished in: ICMLA (1) (2013)
Keyphrases
- fold cross validation
- least squares
- kernel ridge regression
- support vector machine
- logistic regression
- kernel methods
- random forest
- svm classifier
- parameter selection
- gradient boosting
- feature selection
- amino acid composition
- support vector machine svm
- ls svm
- feature ranking
- support vector
- kernel matrix
- kernel function
- kernel matrices
- machine learning
- model selection
- active learning
- k nearest neighbor
- support vectors
- multi class
- feature space
- text classification
- loss function
- decision trees
- image processing
- naive bayes