Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution.
Marzieh HasannasabJohannes HertrichFriederike LausGabriele SteidlPublished in: CoRR (2019)
Keyphrases
- em algorithm
- maximum likelihood estimates
- expectation maximization
- maximum likelihood
- mixture distribution
- maximum likelihood estimation
- parameter estimation
- probability density function
- likelihood function
- gaussian mixture
- expectation maximisation
- mixture model
- hyperparameters
- gaussian distribution
- gaussian mixture model
- parameter learning
- normal distribution
- closed form
- generative model
- estimate the model parameters
- mixture components
- probabilistic model
- unsupervised learning
- log likelihood function
- penalized likelihood
- linear models
- incomplete data
- random variables
- maximum a posteriori
- log likelihood
- likelihood maximization
- finite mixture models
- probability distribution
- bayesian framework
- feature vectors
- least squares
- finite mixture model
- model based clustering
- mixture of gaussians
- mixture modeling
- model selection
- statistical model
- k means
- image segmentation