hidden Markov model


hidden Markov model

[¦hid·ən ′mär·kəf ‚mäd·əl] (mathematics) A finite-state machine that is also a doubly stochastic process involving at least two levels of uncertainty: a random process associated with each state, and a Markov chain, which characterizes the probabilistic relationship among the states in terms of how likely one state is to follow another.