Keyphrases
- em algorithm
- gaussian processes
- hyperparameters
- expectation maximization
- mixture model
- posterior distribution
- gaussian process
- markov chain monte carlo
- generative model
- dirichlet process
- gaussian mixture
- parameter estimation
- maximum likelihood
- covariance function
- gaussian mixture model
- expectation propagation
- variational bayes
- mixture distribution
- gaussian process regression
- random sampling
- closed form
- maximum a posteriori
- probabilistic model
- model selection
- bayesian inference
- incomplete data
- sample size
- cross validation
- unsupervised learning
- learning algorithm
- bayesian framework
- approximate inference
- markov chain
- prior information
- parameter space
- covariance matrix
- k means
- computer vision