Graph model selection using maximum likelihood.
Ivona BezákováAdam KalaiRahul SanthanamPublished in: ICML (2006)
Keyphrases
- model selection
- maximum likelihood
- hyperparameters
- likelihood function
- cross validation
- parameter estimation
- mixture model
- statistical learning
- bayesian learning
- sample size
- information criterion
- regression model
- gaussian process
- model selection criteria
- em algorithm
- motion segmentation
- selection criterion
- error estimation
- feature selection
- posterior distribution
- variable selection
- machine learning
- parameter determination
- maximum a posteriori
- expectation maximization
- marginal likelihood
- generalization error
- statistical inference
- generative model
- automatic model selection