Definition: Viterbi is a technique used in machine learning where the model learns to recognize patterns in time series data. It involves using an entire sequence (e.g., a sentence) as input, followed by another sequence (e.g., words from context) for its output. The Viterbi algorithm minimizes the mean squared error between the predicted and actual sequence lengths, thereby improving prediction accuracy.
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