Consider the following hidden Markov model (HMM). Let N 2 and M4, where the set of observation symbols is “A”, “C”, “T”, and “G”. The two states s1 and 82 capture local features with differing base frequencies. Let the transition probability inatrix A consist of the entries an = 0.5, a12-05, a21- 0.5, a22 0.5. Let the emission probabilities consist of bA(1)-0.25,b(10.25, bc (1)-0.25, bc(1) 0.25,bA(2)-0.1, bT(2)0.1, bc(2)-0.4, b(20.4. Let the initial state distribution be
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