= Forward–backward algorithm
{wiki=Forward–backward_algorithm}
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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