Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements.
Markéta ValeckováMiroslav KárnýElmawati Laksmani SutantoPublished in: Autom. (2001)
Keyphrases
- markov chain
- steady state
- transition probabilities
- finite state
- clustering algorithm
- stochastic process
- monte carlo
- random walk
- markov process
- markov chain monte carlo
- markov processes
- algo rithm
- state space
- probabilistic automata
- transition matrix
- monte carlo method
- markov model
- stationary distribution
- bayesian networks
- monte carlo simulation
- k means
- confidence intervals
- random numbers
- information theoretic
- bayesian learning
- density estimation
- maximum entropy
- higher order
- assemble to order systems