Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models.
Kaspar MärtensMichalis K. TitsiasChristopher YauPublished in: AISTATS (2019)
Keyphrases
- hidden markov models
- markov chain monte carlo
- monte carlo
- sampling algorithm
- markov chain
- markov models
- speech recognition
- conditional random fields
- approximate inference
- ensemble methods
- viterbi algorithm
- posterior distribution
- random sampling
- gesture recognition
- bayesian inference
- generative model
- particle filter
- parameter estimation
- sequential data
- discriminative training
- posterior probability
- hierarchical hidden markov model
- continuous hidden markov models
- sequence classification
- baum welch
- exponential family
- markov model
- particle filtering
- hidden states
- reinforcement learning
- bayesian networks
- genetic algorithm