Theoretical aspects in penalty hyperparameters optimization.
Flavia EspositoLaura SelicatoCaterina SportelliPublished in: CoRR (2023)
Keyphrases
- hyperparameters
- cross validation
- model selection
- bayesian inference
- grid search
- bayesian framework
- closed form
- random sampling
- em algorithm
- prior information
- parameter optimization
- support vector
- noise level
- regularization parameter
- maximum likelihood
- incremental learning
- maximum a posteriori
- incomplete data
- prior knowledge
- parameter settings
- gaussian process
- data mining
- high dimensional
- optimal solution
- decision trees
- machine learning