Multi-parameters Model Selection for Network Inference.
Veronica TozzoAnnalisa BarlaPublished in: COMPLEX NETWORKS (1) (2019)
Keyphrases
- model selection
- hyperparameters
- parameter estimation
- cross validation
- statistical inference
- parameter selection
- variational bayes
- parameter determination
- likelihood function
- sample size
- bayesian learning
- error estimation
- machine learning
- bayesian model selection
- bayesian methods
- statistical learning
- regression model
- mixture model
- gaussian process
- selection criterion
- marginal likelihood
- generalization error
- parameter values
- information criterion
- motion segmentation
- maximum likelihood
- bayesian information criterion
- leave one out cross validation
- markov chain monte carlo
- variable selection
- model selection criteria
- feature selection
- bayesian networks
- bayesian inference
- parameter settings
- image registration
- upper bound
- automatic model selection