Markov and Viterbi – implemented by Brian Beckman

https://github.com/rebcabin/DotNetExtensionsImproved

From Wikipedia – information on Markov and Viterbi:

A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states

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 more generally, hidden Markov models.

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