Forward Algorithm
Section 2 - Page 2
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Then for each time step, t = 2, ..., T, the partial probability
is
calculated for each state;
that is, the product of the appropriate observation probability
and the sum over all possible routes to that state, exploiting
recursion by knowing these values already for the previous time
step.
Finally the sum of all partial probabilities gives the
probability of the observation, given the HMM, .
To recap, each partial probability (at time t > 2) is calculated
from all the previous states.
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