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muz committed Feb 9, 2017
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Expand Up @@ -3,10 +3,10 @@ In this lab session you are expected to implement the [viterbi algorithm](https:
The viterbi algorithm finds the maximum likelihood solution for a [hidden markov model](https://en.wikipedia.org/wiki/Hidden_Markov_model)

A hidden Markov model with M hidden states and an alphabet size of N will have these parameters :
* N and M
* M initial probabilities
* MxM transition probabilities
* MxN emission probabilities
* **N** and **M**
* **M** initial probabilities
* **MxM** transition probabilities
* **MxN** emission probabilities

Your program should read these parameters file like [this](sample_parameters.dat), which represents the classical fair/biased coin toss example.

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