Keyphrases
- em algorithm
- maximum likelihood
- expectation maximization
- bayesian model selection
- mixture model
- parameter estimation
- maximum likelihood estimation
- gaussian mixture model
- hyperparameters
- generative model
- incomplete data
- posterior distribution
- likelihood function
- maximum a posteriori
- expectation maximisation
- gaussian mixture
- log likelihood
- likelihood maximization
- gibbs sampling
- matrix factorisation
- hidden variables
- density estimation
- posterior probability
- gaussian processes
- mixture modeling
- probabilistic model
- probability density function
- penalized likelihood
- feature selection