Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM.
Hui LanZiquan LiuJanet H. HsiaoDan YuAntoni B. ChanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- hidden markov models
- variational bayesian
- expectation maximization
- k means
- unsupervised learning
- factor analysis
- baum welch
- matrix factorization
- exponential family
- dirichlet process
- cluster analysis
- clustering algorithm
- incomplete data
- conditional random fields
- em algorithm
- variational inference
- density estimation
- mixture model
- maximum likelihood
- multi task learning
- graphical models
- outlier detection
- bayesian framework
- probability density function
- gaussian process
- machine learning