Convergence of the maximum a posteriori path estimator in hidden Markov models.
Amke CaliebeUwe RöslerPublished in: IEEE Trans. Inf. Theory (2002)
Keyphrases
- maximum a posteriori
- hidden markov models
- image reconstruction
- markov random field
- maximum likelihood
- map estimation
- hyperparameters
- em algorithm
- expectation maximization
- bayesian framework
- speech recognition
- markov models
- conditional random fields
- posterior distribution
- markov model
- energy function
- sequential data
- hidden states
- hidden state
- baum welch
- reinforcement learning
- minimum mean squared error
- parameter estimation
- mixture model
- probabilistic model
- pairwise