Keyphrases
- gaussian process
- em algorithm
- mixture model
- hyperparameters
- posterior distribution
- approximate inference
- generative model
- expectation maximization
- bayesian framework
- variational bayes
- gaussian processes
- markov chain monte carlo
- maximum likelihood
- parameter estimation
- gaussian mixture model
- dirichlet process
- likelihood function
- maximum a posteriori
- maximum likelihood estimation
- density estimation
- variational inference
- model selection
- regression model
- markov chain
- latent variables
- mixture modeling
- log likelihood
- incomplete data
- gaussian mixture
- bayesian inference
- posterior probability
- finite mixture model
- probability density function
- mixture of gaussians
- finite mixture models
- probabilistic mixture model
- probabilistic model
- model based clustering
- unsupervised learning
- semi supervised
- missing data
- probability distribution