Automatic Optimization of Hyperparameters Using Associative Self-adapting Structures.
Szymon CzaplakAdrian HorzykPublished in: IJCNN (2022)
Keyphrases
- hyperparameters
- model selection
- grid search
- cross validation
- bayesian framework
- random sampling
- closed form
- maximum a posteriori
- support vector
- prior information
- parameter optimization
- sample size
- gaussian process
- bayesian inference
- noise level
- gaussian processes
- random forest
- regularization parameter
- em algorithm
- missing values
- maximum likelihood
- data sets
- generalization ability
- incomplete data
- incremental learning
- multiscale
- active learning
- decision trees