Automatic Model Selection by Cross-Validation for Probabilistic PCA.
Ezequiel López-RubioJuan Miguel Ortiz-de-Lazcano-LobatoPublished in: Neural Process. Lett. (2009)
Keyphrases
- cross validation
- automatic model selection
- model selection
- information criterion
- principal component analysis
- hyperparameters
- mixture model
- variable selection
- support vector
- training set
- high dimensional
- feature extraction
- bayesian networks
- generalization error
- sample size
- selection criterion
- feature selection
- generative model
- leave one out cross validation
- learning machines
- factor analysis
- ls svm
- machine learning
- information theoretic
- unsupervised image segmentation
- bayesian information criterion
- probabilistic model
- dimensionality reduction
- gaussian process
- face recognition
- probability model
- decision trees
- independent component analysis
- linear discriminant analysis