Graph model selection by edge probability sequential inference.
Louis DuvivierRémy CazabetCéline RobardetPublished in: CoRR (2021)
Keyphrases
- model selection
- weighted graph
- statistical inference
- cross validation
- bayesian model selection
- hyperparameters
- parameter estimation
- statistical learning
- regression model
- feature selection
- mixture model
- sample size
- posterior probability
- selection criterion
- bayesian learning
- error estimation
- probability distribution
- model selection criteria
- variable selection
- variational bayes
- bayesian inference
- probabilistic inference
- gaussian process
- edge detection
- machine learning
- generalization error
- bayesian framework
- leave one out cross validation
- belief networks
- conditional probabilities
- information criterion
- marginal likelihood
- training set
- bayesian networks
- automatic model selection