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Can I read Understanding the Backward Algorithm on EtoBox?

Understanding the Backward Algorithm by Jessie Mangyao Nava is a document available to read on EtoBox.

What is Understanding the Backward Algorithm about?

The Backward algorithm allows us to calculate the posterior probability P(πi = k | x) that a hidden state k generated an observation at time step i, given the observed sequence x. It builds a dynamic programming matrix where each entry bk(i) is the probability of observing the portion of the sequence from time step i+1 to the end, given the hidden state at time i is k. The matrix is populated from right to left using a recurrence relation involving the transition and emission probabilities of the HMM.

Author
Jessie Mangyao Nava
Language
EN