Structural Bayesian Linear Regression for Hidden Markov Models.
Shinji WatanabeAtsushi NakamuraBiing-Hwang Fred JuangPublished in: J. Signal Process. Syst. (2014)
Keyphrases
- hidden markov models
- linear regression
- least squares
- speech recognition
- regression problems
- nonlinear regression
- viterbi algorithm
- sequential data
- gaussian processes
- markov models
- conditional random fields
- maximum likelihood
- bayesian networks
- bayesian inference
- stochastic context free grammars
- continuous hidden markov models
- linear models
- regression trees
- hidden state
- hidden states
- random effects