Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks.
Kishan K. CRui LiParibesh RegmiAnne R. HaakePublished in: CoRR (2022)
Keyphrases
- model selection
- neural network
- cross validation
- hyperparameters
- sample size
- parameter estimation
- unsupervised learning
- regression model
- statistical learning
- mixture model
- model selection criteria
- variable selection
- bayesian learning
- generalization error
- error estimation
- selection criterion
- feature selection
- generative model
- parameter determination
- gaussian process
- meta learning
- bayesian model selection
- bayesian networks
- machine learning
- statistical inference
- information criterion
- probabilistic model
- bayesian methods
- motion segmentation
- protein interaction
- mutual information
- marginal likelihood
- generalization bounds
- leave one out cross validation