Model selection in markovian processes.
Assaf HallakDotan Di CastroShie MannorPublished in: KDD (2013)
Keyphrases
- model selection
- cross validation
- parameter estimation
- hyperparameters
- sample size
- bayesian learning
- mixture model
- regression model
- statistical learning
- error estimation
- motion segmentation
- meta learning
- feature selection
- selection criterion
- gaussian process
- bayesian methods
- generalization error
- variable selection
- statistical inference
- marginal likelihood
- machine learning
- leave one out cross validation
- model selection criteria
- parameter determination
- likelihood function
- high dimensional
- bayesian information criterion
- information criterion