Keyphrases
- variational bayesian
- expectation maximization
- em algorithm
- incomplete data
- mixture model
- maximum likelihood
- gaussian mixture model
- exponential family
- parameter estimation
- probabilistic model
- log likelihood
- generative model
- maximum a posteriori
- unsupervised learning
- bayesian framework
- hidden variables
- probability density function
- matrix factorization
- density estimation
- parameter learning
- k means
- hyperparameters
- feature selection
- particle filter
- posterior distribution
- least squares
- variational inference
- image segmentation