Engineering Questions with Answers - Multiple Choice Questions

Artificial Intelligence MCQ – Hidden Markov Model

1 - Question

Which algorithm is used for solving temporal probabilistic reasoning?
a) Hill-climbing search
b) Hidden markov model
c) Depth-first search
d) Breadth-first search

View Answer

Answer: b
Explanation: Hidden Markov model is used for solving temporal probabilistic reasoning that was independent of transition and sensor model.

2 - Question

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

View Answer

Answer: c
Explanation: An HMM is a temporal probabilistic model in which the state of the process is described by a single discrete random variable.

3 - Question

What are the possible values of the variable?
a) Variables
b) Literals
c) Discrete variable
d) Possible states of the world

View Answer

Answer: d
Explanation: The possible values of the variables are the possible states of the world.

4 - Question

Where does the additional variables are added in HMM?
a) Temporal model
b) Reality model
c) Probability model
d) All of the mentioned

View Answer

Answer: a
Explanation: Additional state variables can be added to a temporal model while staying within the HMM framework.

5 - Question

Which allows for a simple and matrix implementation of all the basic algorithm?
a) HMM
b) Restricted structure of HMM
c) Temporary model
d) Reality model

View Answer

Answer: b
Explanation: Restricted structure of HMM allows for a very simple and elegant matrix implementation of all the basic algorithm.

6 - Question

Where does the Hidden Markov Model is used?
a) Speech recognition
b) Understanding of real world
c) Both Speech recognition & Understanding of real world
d) None of the mentioned

View Answer

Answer: a
Explanation: None.

7 - Question

Which variable can give the concrete form to the representation of the transition model?
a) Single variable
b) Discrete state variable
c) Random variable
d) Both Single & Discrete state variable

View Answer

Answer: d
Explanation: With a single, discrete state variable, we can give concrete form to the representation of the transition model.

8 - Question

Which algorithm works by first running the standard forward pass to compute?
a) Smoothing
b) Modified smoothing
c) HMM
d) Depth-first search algorithm

View Answer

Answer: b
Explanation: The modified smoothing algorithm works by first running the standard forward pass to compute and then running the backward pass.

9 - Question

Which reveals an improvement in online smoothing?
a) Matrix formulation
b) Revelation
c) HMM
d) None of the mention ed

View Answer

Answer: a
Explanation: Matrix formulation reveals an improvement in online smoothing with a fixed lag.

10 - Question

Which suggests the existence of an efficient recursive algorithm for online smoothing?
a) Matrix
b) Constant space
c) Constant time
d) None of the mentioned

View Answer

Answer: b
Explanation: None.