Selecting Hyperparameters of Nonlinear Support Vector Machine Using Bayesian Inference.
Jonghyok JangUijong JangMyongguk JongPublished in: MICML (2023)
Keyphrases
- hyperparameters
- bayesian inference
- support vector machine
- posterior distribution
- prior information
- probabilistic model
- gaussian process
- gaussian processes
- variational bayes
- support vector
- machine learning
- bayesian methods
- feature selection
- training set
- model selection
- particle filter
- support vector regression
- expectation propagation
- parameter estimation
- support vector machine svm
- feature vectors
- search algorithm
- decision trees