Using reversible jump MCMC for cognitive diagnostic model selection.
Li-hong SongWen-yi WangHai-qi DaiShu-liang DingPublished in: FSKD (2012)
Keyphrases
- model selection
- reversible jump mcmc
- bayesian networks
- cross validation
- simulated annealing
- hyperparameters
- sample size
- parameter estimation
- regression model
- motion segmentation
- bayesian learning
- statistical inference
- mixture model
- machine learning
- generalization error
- statistical learning
- feature selection
- error estimation
- variable selection
- selection criterion
- data sets
- meta learning
- model selection criteria
- gaussian process
- information criterion
- leave one out cross validation
- marginal likelihood
- automatic model selection
- mutual information