Speed up grid-search for parameter selection of support vector machines.
Hatem A. FayedAmir F. AtiyaPublished in: Appl. Soft Comput. (2019)
Keyphrases
- parameter selection
- grid search
- support vector
- hyperparameters
- cross validation
- model selection
- generalization ability
- ls svm
- support vector machine
- support vector regression
- gaussian process
- logistic regression
- variable selection
- kernel function
- regularization parameter
- feature selection
- loss function
- svm classifier
- sample size
- maximum likelihood
- bayesian framework
- learning algorithm
- ensemble methods
- random sampling
- prior information
- closed form
- machine learning methods
- genetic algorithm
- em algorithm
- classification accuracy
- random search
- machine learning
- kernel methods
- bayesian inference
- bp neural network
- data mining
- regression model
- parameter estimation
- artificial neural networks