A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures.
Robert A. JacobsFengchun PengMartin A. TannerPublished in: Neural Networks (1997)
Keyphrases
- model selection
- mixture model
- cross validation
- parameter estimation
- hyperparameters
- sample size
- statistical inference
- model selection criteria
- selection criterion
- unsupervised learning
- regression model
- bayesian learning
- information criterion
- meta learning
- statistical learning
- variable selection
- motion segmentation
- gaussian mixture model
- machine learning
- generalization bounds
- generalization error
- gaussian process
- leave one out cross validation
- error estimation
- marginal likelihood
- parameter determination
- bayesian information criterion
- statistical model
- semi supervised