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An algorithm for finding the most probable sequence of latent variables in a directed graphical model, using dynamic programming.

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Can I transform the Viterbi score from tensorflow into a probability?

I understand the Viterbi algorithm as it is explained in Wikipedia However, the TensorFlow implementation is different: def viterbi_decode(score, transition_params): """Decode the highest scoring …
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