Model Selection for Degree-corrected Block Models
Xiaoran YanJacob E. JensenFlorent KrzakalaCristopher MooreCosma Rohilla ShaliziLenka ZdeborováPan ZhangYaojia ZhuPublished in: CoRR (2012)
Keyphrases
- model selection
- cross validation
- parameter estimation
- regression model
- bayesian learning
- sample size
- machine learning
- model selection criteria
- meta learning
- hyperparameters
- feature selection
- variable selection
- motion segmentation
- mixture model
- bayesian methods
- statistical learning
- marginal likelihood
- selection criterion
- statistical inference
- generalization error
- error estimation
- gaussian process
- leave one out cross validation
- information criterion
- upper bound
- automatic model selection
- subspace information criterion