The algorithm makes use of the principle of dynamic programming to efficiently compute the values that are required to obtain the posterior marginal distributions in two passes. The first pass goes forward in time while the second goes backward in time; hence the name forward–backward algorithm.
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Abstract: The authors introduce a technique that greatly speeds up expensive time-synchronous beam searches in speech recognition. The algorithm is called ...
It is a dynamic programming algorithm, and is closely related to the Viterbi algorithm for decoding with HMMs or CRFs.
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We present the hybrid backward-forward (HBF) planning algorithm that uses a backward identification of constraints to direct the sampling of the infinite action ...
Nov 14, 2019 · of a string with the Forward algorithm; and 3) To compute the prob. of a string with the Backward algorithm. In this regard, it is worth ...
The forward-backward algorithm is an algorithm for computing posterior marginals in a hidden Markov model (HMM). It is based on dynamic programming.
The forward algorithm, in the context of a hidden Markov model (HMM), is used to calculate a 'belief state': the probability of a state at a certain time.
A forward-backward algorithm is a dynamic programming algorithm used to calculate the posterior marginal distribution of all hidden state variables given a ...
It uses a simplified forward pass followed by a detailed backward search. The information stored in the forward pass is used to decrease the computation in the ...
Sep 15, 2019 · Forward selection starts with no predictors and adds one by one, and stops the process when the next addition is not statistically significant.