Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters.
Jacques WainerGavin C. CawleyPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- empirical evaluation
- hyperparameters
- support vector
- grid search
- cross validation
- ls svm
- gaussian process
- model selection
- decision function
- support vector machine
- gaussian processes
- bayesian inference
- support vector machine svm
- closed form
- regularization parameter
- random sampling
- bayesian framework
- em algorithm
- prior information
- noise level
- kernel function
- generalization ability
- svm classifier
- incremental learning
- support vector regression
- feature selection
- sample size
- maximum likelihood
- machine learning
- training set
- random forest
- maximum a posteriori
- missing values
- generative model
- particle filter
- prior knowledge
- feature extraction