Two design methods of hyperparameters in variational Bayes learning for Bernoulli mixtures.
Daisuke KajiSumio WatanabePublished in: Neurocomputing (2011)
Keyphrases
- hyperparameters
- variational bayes
- cross validation
- model selection
- incremental learning
- learning algorithm
- bayesian framework
- learning process
- posterior distribution
- missing values
- bayesian learning
- gaussian process
- em algorithm
- reinforcement learning
- data sets
- density estimation
- maximum likelihood
- image processing
- log likelihood
- machine learning