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ml-recall

#sequence-probability

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Question 1: Short answer

hardAI-checkedTime Series

An HMM has hidden states A, T, G, C, starts in each with probability 1/41/4, and has transitions A→AA \to A, A→TA \to T, T→TT \to T, T→GT \to G, G→GG \to G, G→CG \to C, C→CC \to C, C→AC \to A, each with probability 1/21/2. States A and G always emit 1; states T and C always emit 2. What probability does it assign to the output sequence 1, 2, 1, 2?

a probability, e.g. 0.125