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Forward–backward algorithm

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 0 By others on same topic  0 Discussions  1970-01-01  See my version
The Forward-Backward Algorithm is a fundamental technique used in the field of Hidden Markov Models (HMMs) for performing inference, particularly for computing the probabilities of sequences of observations given a model. This algorithm is particularly useful in various applications such as speech recognition, natural language processing, bioinformatics, and more. ### Key Concepts 1. **Hidden Markov Model (HMM)**: An HMM is characterized by: - A set of hidden states.

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