Explanation: Hidden Markov model is used for solving temporal probabilistic reasoning that was independent of transition and sensor model. 2. How does the state of the process is described in HMM?
A. Literal
B. Single random variable
C. Single discrete random variable
D. None of the mentioned
Answer:A
Explanation: Hidden Markov model is used for solving temporal probabilistic reasoning that was independent of transition and sensor model. 2. How does the state of the process is described in HMM?
A. Literal B. Single random variable C. Single discrete random variable D. None of the mentioned
Explanation: An HMM is a temporal probabilistic model in which the state of the process is described by a single discrete random variable. 3. What are the possible values of the variable?