Combining hidden Markov models with probabilistic Bayes networks to conduct business forecasting and risk simulation.
Chih-Hsuan WangJen-Zen ChenPublished in: Soft Comput. (2021)
Keyphrases
- hidden markov models
- bayes networks
- stochastic context free grammars
- graphical models
- speech recognition
- hidden state
- markov models
- bayesian networks
- sequence classification
- conditional random fields
- probabilistic model
- viterbi algorithm
- hidden states
- generative model
- sequential data
- baum welch
- belief networks
- constraint networks
- discriminative training
- posterior probability
- maximum likelihood
- latent variable models
- probabilistic interpretation
- information extraction
- prior knowledge
- machine learning