Structure and parameter learning via entropy minimization, with applications to mixture and hidden Markov models.
Matthew BrandPublished in: ICASSP (1999)
Keyphrases
- hidden markov models
- entropy minimization
- structure and parameter learning
- conditional independence
- fuzzy neural network
- mixture distributions
- structure learning
- latent variable models
- bayesian networks
- conditional random fields
- mixture model
- parameter learning
- markov models
- sequential data
- graphical models
- continuous hidden markov models
- speech recognition
- expectation maximization
- random variables
- hidden state
- input output
- fuzzy rules
- transfer learning
- hidden states
- linear dynamical systems
- text classification
- generative model
- parameter estimation
- causal models
- statistical learning