Online Model Selection Based on the Variational Bayes.
Masa-aki SatoPublished in: Neural Comput. (2001)
Keyphrases
- training data
- model selection
- hyperparameters
- variational bayes
- bayesian learning
- cross validation
- gaussian process
- posterior distribution
- parameter estimation
- sample size
- regression model
- bayesian inference
- machine learning
- mixture model
- random sampling
- latent variables
- prior knowledge
- unsupervised learning
- closed form
- bayesian framework
- support vector
- em algorithm
- bayesian methods
- probabilistic model
- feature selection
- incomplete data
- exponential family
- expectation propagation
- noise level
- density estimation
- maximum a posteriori
- information theoretic
- maximum likelihood
- mutual information
- probability distribution
- feature extraction