Hierarchical Model Selection for Graph Neural Networks.
Yuga OishiKen KaneiwaPublished in: IEEE Access (2023)
Keyphrases
- model selection
- neural network
- cross validation
- hyperparameters
- bayesian learning
- regression model
- parameter estimation
- mixture model
- error estimation
- statistical inference
- unsupervised learning
- variable selection
- generalization error
- meta learning
- statistical learning
- selection criterion
- gaussian process
- information criterion
- machine learning
- sample size
- model selection criteria
- parameter determination
- back propagation
- bayesian methods
- knn
- leave one out cross validation
- image segmentation