A Solution for the Learning Problem in Evidential (Partially) Hidden Markov Models Based on Conditional Belief Functions and EM.
Emmanuel RamassoPublished in: IPMU (1) (2016)
Keyphrases
- hidden markov models
- belief functions
- hidden state
- conditional random fields
- reinforcement learning
- markov models
- speech recognition
- learning algorithm
- sequence classification
- dempster shafer
- viterbi algorithm
- latent variable models
- baum welch
- evidential reasoning
- parameter learning
- sequential data
- finite automata
- dempster shafer theory
- markov tree