An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models.
Aliaksandr HubinPublished in: AIIPCC (2019)
Keyphrases
- em algorithm
- hidden markov models
- simulated annealing
- baum welch
- expectation maximization
- gibbs sampling
- hidden states
- maximum likelihood
- parameter learning
- mixture model
- hidden variables
- generative model
- parameter estimation
- maximum likelihood estimation
- gaussian mixture model
- conditional random fields
- incomplete data
- hyperparameters
- genetic algorithm
- sequential data
- gaussian mixture
- bayesian networks
- probabilistic inference
- maximum a posteriori
- probability density function
- log likelihood
- higher order
- hidden semi markov models
- bayesian inference
- density estimation
- bayesian framework
- random variables
- topic models