Fast grid search: A grid search-inspired algorithm for optimizing hyperparameters of support vector regression.
Mustafa AçikkarPublished in: Turkish J. Electr. Eng. Comput. Sci. (2024)
Keyphrases
- grid search
- hyperparameters
- support vector regression
- cross validation
- random forest
- generalization ability
- model selection
- support vector machine
- random search
- closed form
- gaussian process
- support vector
- bayesian framework
- em algorithm
- meta learning
- bayesian inference
- parameter optimization
- prior information
- noise level
- sample size
- parameter values
- regularization parameter
- random sampling
- decision trees
- incremental learning
- simulated annealing
- bilevel programming
- learning algorithm
- regression model
- fold cross validation
- gaussian processes
- maximum likelihood
- search space
- incomplete data
- expectation maximization
- support vector machine svm
- kernel function
- maximum a posteriori
- energy function
- worst case
- prior knowledge
- parameter settings
- pairwise