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

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

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.

Related Questions

Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models?
What does the term “hidden” refer to in hidden Markov model technique?
What is the quantity of mixture A in the final mixture when mixed with mixture B in ratio 3 : 2. l. The mixture A is 25% more than the total quantity mixture of B ll. The total quantity of mixture B in the original mixture is 20 kg