forward–backward algorithm
Sign in to saveAlso known as Forward/backward algorithm, Posterior decoding, Forward-backward algorithm
hidden Markov model inference algorithm which computes the posterior marginals of all hidden state variables given a sequence of observations, making use of dynamic programming to make only 2 passes: one forward, one backward
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International Standard Book Number
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algorithm
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Python
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Institute of Electrical and Electronics Engineers
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Bayes' theorem
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dynamic programming
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statistical inference
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time complexity
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hidden Markov model
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brute-force search
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transformation matrix
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posterior probability
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Viterbi algorithm
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marginal probability distribution
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condition number
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conditional independence
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row and column vectors
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belief propagation
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Baum–Welch algorithm
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Lawrence Rabiner
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