Model selection in Bayesian segmentation of multiple DNA alignments.
Christopher OldmeadowJonathan M. KeithPublished in: Bioinform. (2011)
Keyphrases
- model selection
- bayesian learning
- motion segmentation
- statistical inference
- cross validation
- hyperparameters
- marginal likelihood
- bayesian model selection
- bayesian information criterion
- bayesian methods
- regression model
- sample size
- mixture model
- parameter estimation
- statistical learning
- bayesian approaches
- multiple objects
- image segmentation
- variable selection
- generalization error
- machine learning
- model selection criteria
- covariate shift
- error estimation
- automatic model selection
- gaussian process
- bayesian networks
- gaussian processes
- selection criterion
- posterior distribution
- information criterion
- segmentation method
- maximum likelihood
- posterior probability
- energy function
- pairwise
- feature selection