Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation.
Kazuho WatanabeSumio WatanabePublished in: J. Mach. Learn. Res. (2006)
Keyphrases
- gaussian mixture
- variational bayesian
- expectation maximization
- closed form
- exponential family
- em algorithm
- mixture model
- factor analysis
- incomplete data
- gaussian mixture model
- probabilistic model
- unsupervised learning
- parameter estimation
- matrix factorization
- maximum likelihood
- probability density function
- dirichlet process
- density estimation
- generative model
- covariance matrix
- image segmentation
- k means
- maximum a posteriori
- density function
- bayesian framework
- log likelihood
- posterior distribution
- statistical analysis
- pairwise