Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission.
Yohan JungJinkyoo ParkPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- hidden markov models
- gaussian process
- gaussian processes
- variational inference
- expectation propagation
- hyperparameters
- bayesian inference
- hidden states
- approximate inference
- posterior distribution
- bayesian framework
- model selection
- regression model
- latent variables
- dirichlet process
- bayesian networks
- exact inference
- variational bayes
- bayesian model
- markov chain monte carlo
- posterior probability
- semi supervised
- markov models
- dynamic bayesian networks
- prior information
- multi task learning
- cross validation
- conditional random fields
- density estimation
- parameter estimation
- closed form
- exponential family
- information extraction
- hidden semi markov models