Mixture of Linear Additive Markov Processes: A Probabilistic Model for Joint Clustering and History-Dependent Transition Estimation.
Masahiro KohjimaPublished in: WI/IAT (2022)
Keyphrases
- markov processes
- probabilistic model
- mixture model
- random fields
- markov chain
- markov process
- expectation maximization
- density estimation
- stochastic processes
- parameter estimation
- continuous time bayesian networks
- clustering algorithm
- k means
- non stationary
- language model
- bayesian inference
- latent variables
- graphical models
- generative model
- maximum likelihood estimation
- gaussian mixture model
- bayesian networks
- maximum entropy
- state space
- appearance model
- probability distribution
- image processing
- em algorithm