Efficient Model Selection for Mixtures of Probabilistic PCA Via Hierarchical BIC.
Jianhua ZhaoPublished in: IEEE Trans. Cybern. (2014)
Keyphrases
- model selection
- mixture model
- cross validation
- bayesian information criterion
- hyperparameters
- parameter estimation
- model selection criteria
- marginal likelihood
- error estimation
- sample size
- selection criterion
- bayesian learning
- machine learning
- unsupervised learning
- regression model
- variable selection
- principal component analysis
- generalization error
- bayesian model selection
- statistical inference
- information criterion
- probabilistic model
- automatic model selection
- bayesian methods
- dimensionality reduction
- gaussian process
- parameter determination
- face recognition
- posterior distribution
- prior knowledge
- feature selection