Evaluation of BIC and Cross Validation for model selection on sequence segmentations.
Niina HaiminenHeikki MannilaPublished in: Int. J. Data Min. Bioinform. (2010)
Keyphrases
- model selection
- cross validation
- hyperparameters
- generalization error
- variable selection
- parameter estimation
- information criterion
- model selection criteria
- bayesian information criterion
- machine learning
- marginal likelihood
- mixture model
- selection criterion
- regression model
- leave one out cross validation
- sample size
- meta learning
- error estimation
- feature selection
- statistical inference
- gaussian process
- image segmentation
- bayesian model selection
- learning machines
- supervised learning
- prior knowledge
- training set