Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- gaussian mixture model
- regression model
- generative model
- maximum likelihood estimation
- parameter estimation
- linear regression
- update equations
- expectation maximisation
- model selection
- hyperparameters
- bayesian model selection
- gaussian mixture
- gaussian processes
- mixture modeling
- probability density function
- likelihood function
- density estimation
- log likelihood
- gibbs sampling
- mixture distribution
- hidden variables
- unsupervised learning
- penalized likelihood
- bayesian networks
- finite mixtures
- matrix factorisation
- finite mixture model
- model based clustering
- bayesian framework
- maximum a posteriori
- probability distribution
- probabilistic model
- feature vectors
- support vector