Keyphrases
- em algorithm
- maximum a posteriori
- expectation maximization
- parameter estimation
- mixture model
- maximum likelihood
- map estimation
- gaussian mixture model
- expectation maximisation
- likelihood function
- maximum likelihood estimation
- likelihood maximization
- generative model
- incomplete data
- log likelihood
- least squares
- probability density function
- gaussian mixture
- probabilistic model
- penalized likelihood
- log likelihood function
- hidden variables
- mixture modeling
- finite mixture models
- bayesian framework
- machine learning
- matrix factorisation
- finite mixture model
- parameter learning
- k means
- feature space
- bayesian networks