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Baum–Welch algorithm

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 0 By others on same topic  0 Discussions  1970-01-01  See my version
The Baum-Welch algorithm is an iterative method used to find the unknown parameters of a Hidden Markov Model (HMM). Specifically, it is a type of Expectation-Maximization (EM) algorithm that helps to optimize the model parameters so that they best fit a given sequence of observed data. ### Key Concepts: 1. **Hidden Markov Model (HMM)**: - HMMs are statistical models that represent systems with unobserved (hidden) states.

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