How Good Are the Bayesian Information Criterion and the Minimum Description Length Principle for Model Selection? A Bayesian Network Analysis.
Nicandro Cruz-RamírezHéctor-Gabriel Acosta-MesaRocío-Erandi Barrientos-MartínezLuis-Alonso Nava-FernándezPublished in: MICAI (2006)
Keyphrases
- network analysis
- model selection
- bayesian information criterion
- bayesian learning
- marginal likelihood
- social network analysis
- information criterion
- bayesian model selection
- statistical inference
- cross validation
- hyperparameters
- bayesian methods
- link prediction
- network structure
- complex networks
- text mining
- posterior distribution
- selection criterion
- mixture model
- sample size
- machine learning
- generalization error
- feature selection
- gaussian process
- maximum likelihood
- variable selection
- unsupervised learning
- bayesian networks
- graph theory
- model selection criteria
- information retrieval
- mutual information
- social networks