Description Usage Arguments Value
Forward algorithm for hidden markov models.
1 | forward(transProb, emisProb, initProb, dataO, dataH, indexH)
|
transProb |
A matrix containing the transition probabilites from the hidden markov model |
emisProb |
A matrix containing the emission probabilities from the hidden markov model |
initProb |
A matrix containing the initial probabilities from the hidden markov model |
dataO |
A vector containing the observed sequence of data |
dataH |
A single symbol of the hidden data |
indexH |
The index at which the single symbol of hidden data above is located in it's original sequence |
A double(real) value. The probability that the hidden symbol is at 'indexH' given the observed sequence and probabilitiy matrices
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