Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning.
Linchang ZhaoZhaowei ShangAnyong QinYuan Yan TangPublished in: ICMLC (2018)
Keyphrases
- parameter estimation
- maximum likelihood
- mixture model
- bayesian learning
- model selection
- posterior distribution
- em algorithm
- statistical models
- expectation maximization
- least squares
- markov random field
- random fields
- approximate inference
- gaussian mixture model
- parameter estimation algorithm
- marginal likelihood
- update rules
- gaussian mixture
- gaussian distribution
- hyperparameters
- parameter values
- log likelihood
- latent variable models
- density estimation
- maximum a posteriori
- structure learning
- markov chain monte carlo
- expectation propagation