Keyphrases
- gaussian processes
- em algorithm
- hyperparameters
- expectation maximization
- mixture model
- covariance function
- gaussian process
- finite mixture model
- gaussian mixture model
- gaussian mixture
- mixture modeling
- gaussian process regression
- maximum likelihood
- mixture distribution
- parameter estimation
- generative model
- maximum likelihood estimation
- bayesian framework
- unsupervised learning
- density estimation
- posterior distribution
- linear models
- probabilistic model
- maximum likelihood estimates
- probability density function
- incomplete data
- image segmentation
- model selection
- k means
- gaussian distribution
- topic models
- mutual information
- feature vectors