A new algorithm for support vector regression with automatic selection of hyperparameters.
You-Gan WangJinran WuZhi-Hua HuGeoffrey J. McLachlanPublished in: Pattern Recognit. (2023)
Keyphrases
- support vector regression
- automatic selection
- worst case
- support vector classification
- learning algorithm
- hyperparameters
- k means
- cross validation
- support vector machine svm
- em algorithm
- regularization parameter
- bayesian framework
- prior information
- model selection
- machine learning
- simulated annealing
- nearest neighbor
- semi supervised
- probabilistic model
- support vector
- genetic algorithm