How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms.
Jacques WainerPablo FonsecaPublished in: CoRR (2020)
Keyphrases
- hyperparameters
- support vector
- search algorithm
- radial basis function
- support vector machine svm
- cross validation
- gaussian process
- support vector machine
- gaussian processes
- ls svm
- grid search
- rbf neural network
- regularization parameter
- decision function
- kernel function
- random sampling
- svm classifier
- model selection
- generalization ability
- kernel parameters
- feature selection
- prior information
- closed form
- bayesian inference
- em algorithm
- maximum a posteriori
- sample size
- maximum likelihood
- active learning
- artificial neural networks
- noise level
- bayesian framework
- support vector regression
- neural network
- missing values
- data points
- search space
- learning algorithm