A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm.
Orlando RomeroSubhro DasPin-Yu ChenSérgio PequitoPublished in: CoRR (2020)
Keyphrases
- dynamical systems
- em algorithm
- maximum likelihood
- expectation maximization
- bayesian model selection
- mixture model
- parameter estimation
- hyperparameters
- posterior distribution
- maximum a posteriori
- gaussian mixture model
- log likelihood function
- maximum likelihood estimation
- likelihood function
- generative model
- log likelihood
- hidden variables
- incomplete data
- nonlinear dynamical systems
- predictive state representations
- expectation maximisation
- gaussian mixture
- convergence rate
- posterior probability
- state space
- mixture modeling
- convergence speed
- probability density function
- bayesian framework
- model based clustering
- learning algorithm
- generalized em algorithm
- finite mixture model
- prior distribution
- density estimation
- high dimensional
- image sequences
- computer vision