Decision Theoretic Foundations of Graphical Model Selection
Paola SebastianiMarco RamoniPublished in: CoRR (2013)
Keyphrases
- decision theoretic
- model selection
- cross validation
- hyperparameters
- regression model
- parameter estimation
- bayesian learning
- decision models
- mixture model
- machine learning
- sample size
- expected utility
- variable selection
- statistical learning
- error estimation
- decision theory
- meta learning
- motion segmentation
- gaussian process
- statistical inference
- model selection criteria
- parameter determination
- leave one out cross validation
- marginal likelihood
- multivariate regression
- information criterion
- generalization error
- training data
- bayesian information criterion
- em algorithm
- feature selection