Prior Hyperparameters in Bayesian PCA.
Shigeyuki ObaMasa-aki SatoShin IshiiPublished in: ICANN (2003)
Keyphrases
- hyperparameters
- conjugate priors
- bayesian methods
- posterior distribution
- bayesian inference
- prior information
- maximum a posteriori
- model selection
- principal component analysis
- closed form
- cross validation
- bayesian framework
- maximum likelihood
- gaussian processes
- support vector
- random sampling
- gaussian process
- sample size
- em algorithm
- marginal likelihood
- noise level
- incremental learning
- prior knowledge
- parameter space
- face recognition
- incomplete data
- markov random field
- posterior probability
- feature extraction
- dimensionality reduction
- parameter settings
- pairwise
- missing values
- feature selection
- latent variables
- grid search
- computer vision
- noisy images
- machine learning
- expectation maximization
- probabilistic model