The Net-HMM Approach: Phylogenetic Network Inference by Combining Maximum Likelihood and Hidden Markov Models.
Sagi SnirTamir TullerPublished in: J. Bioinform. Comput. Biol. (2009)
Keyphrases
- hidden markov models
- maximum likelihood
- hidden states
- speech recognition
- sequential data
- discriminative training
- conditional random fields
- viterbi algorithm
- handwritten word recognition
- markov models
- maximum parsimony
- random effects
- gesture recognition
- hierarchical hidden markov model
- continuous hidden markov models
- network structure
- speaker adaptation
- profile hidden markov models
- phylogenetic trees
- parameter learning
- graphical representation
- speech signal
- belief networks
- parameter estimation