Answer / Priti

The Viterbi Algorithm is a dynamic programming method used to find the most likely sequence of hidden states in a Hidden Markov Model (HMM). The algorithm calculates the probability of each possible sequence of states, given an observed sequence of observations. In HMMs, there are unobserved (hidden) states that emit observable symbols according to probabilistic transitions between these states. The Viterbi Algorithm finds the single best path through the model's state space that maximizes the likelihood of the observed sequence.

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