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A hidden Markov model can be considered a generalisation of mixture model.

(a) True

(b) False

I had been asked this question during an interview.

Question is from Techniques topic in division Cognitive Techniques of Cognitive Radio

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Best answer
The correct option is (a) True

Best explanation: A mixture model is used to represent the presence of a sub-category within an overall category. In hidden Markov model, the hidden variables are related based on Markov process and are not independent of each other. The hidden variables control the mixture component to be selected for each observation.

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