Keyphrases
- em algorithm
- gaussian process
- hyperparameters
- expectation maximization
- gaussian processes
- gibbs sampling
- approximate inference
- maximum likelihood
- bayesian framework
- mixture model
- generative model
- variational methods
- posterior distribution
- image segmentation
- parameter estimation
- incomplete data
- maximum a posteriori
- regression model
- model selection
- variational inference
- gaussian mixture model
- free energy
- semi supervised
- log likelihood
- probability density function
- hidden variables
- probabilistic model
- bayesian inference
- prior information
- cross validation
- optic flow
- high dimensional