PCA-Based Model Selection and Fitting for Linear Manifolds.
Atsushi ImiyaHisashi OotaniPublished in: MLDM (2001)
Keyphrases
- model selection
- parameter estimation
- cross validation
- bayesian learning
- hyperparameters
- regression model
- statistical inference
- machine learning
- statistical learning
- error estimation
- variable selection
- sample size
- generalization error
- mixture model
- model selection criteria
- selection criterion
- motion segmentation
- leave one out cross validation
- parameter determination
- manifold learning
- learning algorithm
- information criterion
- gaussian process
- feature selection
- bayesian methods
- principal component analysis
- least squares
- closed form
- bayesian information criterion
- low dimensional
- automatic model selection