I am trying to find the most likely path (i.e. a sequence of states) on an HMM using the Viterbi algorithm. However, I do not know the transition and radiation matrices, which I need to estimate from the observations (data).
To evaluate these matrices, which algorithm should I use: Baum-Welch or Viterbi learning algorithm? Why?
In case I use the Viterbi learning algorithm, can someone provide me with a good pseudo-code (it is not easy to find)?
algorithm hidden-markov-models expectation-maximization viterbi
dx_mrt
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