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The selected paths in Viterbi's algorithm are regarded as survivors.
Explanation:
In Viterbi's algorithm, the goal is to find the most likely sequence of hidden states in a hidden Markov model. The algorithm uses dynamic programming to calculate the probabilities of different paths and selects the path with the highest probability at each step. These selected paths are considered survivors because they represent the most likely sequence of states given the observed data.
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