Discriminative Model Selection for Density Models.
Bo ThiessonChristopher MeekPublished in: AISTATS (2003)
Keyphrases
- model selection
- parameter estimation
- cross validation
- hyperparameters
- unsupervised learning
- statistical inference
- regression model
- model selection criteria
- feature selection
- sample size
- generalization error
- information criterion
- error estimation
- mixture model
- statistical learning
- gaussian process
- bayesian methods
- bayesian learning
- selection criterion
- marginal likelihood
- automatic model selection
- leave one out cross validation
- machine learning
- variable selection
- motion segmentation
- parameter determination
- data mining