A hidden Markov model for latent temporal clustering with application to ideological alignment in the U.S. Supreme Court.
Harry CranePublished in: Comput. Stat. Data Anal. (2017)
Keyphrases
- hidden markov models
- conditional random fields
- markov models
- speech recognition
- k means
- supreme court
- baum welch
- gesture recognition
- markov model
- latent variable models
- spatio temporal
- dynamic probabilistic networks
- hidden state
- sequential data
- viterbi algorithm
- unsupervised learning
- maximum likelihood
- phoneme recognition
- computer science
- continuous hidden markov models