Hidden Markov Model
One of the applications of HMM is to predict the sequence of state changes, based on the sequence of observations.
The Viterbi Algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states - called the Viterbi path - that results in a sequence of observed events, especially in the context of Markov information sources and hidden Markov models.
