Hyperparameters for Soft Bayesian Model Selection.
Adrian CorduneanuChristopher M. BishopPublished in: AISTATS (2001)
Keyphrases
- hyperparameters
- bayesian model selection
- model selection
- em algorithm
- cross validation
- posterior probability
- bayesian framework
- gaussian process
- parameter estimation
- posterior distribution
- expectation maximization
- mixture model
- sample size
- machine learning
- maximum likelihood
- generative model
- gaussian mixture model
- closed form
- incomplete data
- maximum a posteriori
- bayesian inference
- approximate inference
- feature selection
- prior information