Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines.
Shizhong LiaoLei JiaPublished in: PAKDD (2007)
Keyphrases
- support vector
- hyperparameters
- learning machines
- large margin classifiers
- parameter settings
- kernel parameters
- tuning parameters
- gaussian processes
- rbf kernel
- parameter tuning
- grid search
- cross validation
- kernel function
- model selection
- parameter values
- regularization parameter
- classification accuracy
- gaussian process
- logistic regression
- maximum margin
- support vector machine
- generalization ability
- input parameters
- radial basis function
- multi class classification
- support vectors
- hyperplane
- random sampling
- closed form
- support vector regression
- data sets
- parameter space
- prior information
- linear discriminant analysis
- kernel methods
- maximum a posteriori
- fine tuning
- decision function
- sample size
- loss function
- training examples
- multi class
- machine learning