Top 50+ Solved Pattern Recognition MCQ Questions Answer

From 1 to 15 of 23

Q. 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

  • b. hidden markov model

Q. 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

  • c. single discrete random variable

Q. What are the possible values of the variable?

a. variables

b. literals

c. discrete variable

d. possible states of the world

  • d. possible states of the world

Q. Where does the additional variables are added in HMM?

a. temporal model

b. reality moddel

c. probability model

d. all of the mentioned

  • a. temporal model

Q. Where does the Hidden Markov Model is used?

a. speech recognition

b. understanding of real world

c. both a & b

d. none of the mentioned

  • a. speech recognition

Q. Which algorithm works by first running the standard forward pass to compute?

a. smoothing

b. modified smoothing

c. hmm

d. depth-first search algorithm

  • b. modified smoothing

Q. Which reveals an improvement in online smoothing?

a. matrix formulation

b. revelation

c. hmm

d. none of the mentioned

  • a. matrix formulation

Q. Where does the additional variable is added in HMM?

a. temporal model

b. reality model

c. probability model

d. all of the mentioned

  • a. temporal model

Q. Which allows for a simple and matrix implementation of the entire basic algorithm?

a. hmm

b. restricted structure of hmm

c. temporary model

d. reality model

  • b. restricted structure of hmm

Q. 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 a & b

  • d. both a & b

Q. Which suggests the existence of efficient recursive algorithm for online smoothing?

a. matrix

b. constant space

c. constant time

d. none of the mentioned

  • b. constant space

Q. Which algorithm is in more similar to backward chaining algorithm?

a. depth-first search algorithm

b. breadth-first search algorithm

c. hill-climbing search algorithm

d. all of the mentioned

  • a. depth-first search algorithm

Q. Which of the following search belongs to totally ordered plan search?

a. forward state-space search

b. hill-climbing search

c. depth-first search

d. breadth-first search

  • a. forward state-space search

Q. Which cannot be taken as advantage for totally ordered plan search?

a. composition

b. state search

c. problem decomposition

d. none of the mentioned

  • c. problem decomposition

Q. What is the advantage of totally ordered plan in constructing the plan?

a. reliability

b. flexibility

c. easy to use

d. all of the mentioned

  • b. flexibility
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