Keyphrases
- em algorithm
- gaussian processes
- hyperparameters
- posterior distribution
- mixture model
- expectation maximization
- gaussian process
- gaussian mixture
- dirichlet process
- markov chain monte carlo
- generative model
- parameter estimation
- mixture distribution
- maximum likelihood
- gaussian mixture model
- approximate inference
- maximum a posteriori
- bayesian framework
- probabilistic model
- maximum likelihood estimation
- incomplete data
- probability density function
- posterior probability
- unsupervised learning
- markov chain
- density estimation
- bayesian inference
- state space
- bayesian networks