Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes.
Daisuke KajiSumio WatanabePublished in: ICONIP (1) (2009)
Keyphrases
- variational bayes
- hyperparameters
- knowledge discovery
- bayesian learning
- incremental learning
- bayesian inference
- closed form
- learning algorithm
- noise level
- posterior distribution
- maximum likelihood
- latent variables
- em algorithm
- reinforcement learning
- bayesian framework
- incomplete data
- support vector
- data mining
- active learning
- image processing
- data analysis
- high dimensional
- dimensionality reduction
- higher order
- denoising