

McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Master of Science in Computer Science (MSc CS) .
1. |
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 |
Answer» B. hidden markov 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» C. single discrete random variable |
3. |
What are the possible values of the variable? |
A. | variables |
B. | literals |
C. | discrete variable |
D. | possible states of the world |
Answer» D. possible states of the world |
4. |
Where does the additional variables are added in HMM? |
A. | temporal model |
B. | reality moddel |
C. | probability model |
D. | all of the mentioned |
Answer» A. temporal model |
5. |
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 |
Answer» A. speech recognition |
6. |
Which algorithm works by first running the standard forward pass to compute? |
A. | smoothing |
B. | modified smoothing |
C. | hmm |
D. | depth-first search algorithm |
Answer» B. modified smoothing |
7. |
Which reveals an improvement in online smoothing? |
A. | matrix formulation |
B. | revelation |
C. | hmm |
D. | none of the mentioned |
Answer» A. matrix formulation |
8. |
Where does the additional variable is added in HMM? |
A. | temporal model |
B. | reality model |
C. | probability model |
D. | all of the mentioned |
Answer» A. temporal model |
9. |
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 |
Answer» B. restricted structure of hmm |
10. |
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 |
Answer» D. both a & b |
11. |
Which suggests the existence of efficient recursive algorithm for online smoothing? |
A. | matrix |
B. | constant space |
C. | constant time |
D. | none of the mentioned |
Answer» B. constant space |
12. |
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 |
Answer» A. depth-first search algorithm |
13. |
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 |
Answer» A. forward state-space search |
14. |
Which cannot be taken as advantage for totally ordered plan search? |
A. | composition |
B. | state search |
C. | problem decomposition |
D. | none of the mentioned |
Answer» C. problem decomposition |
15. |
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 |
Answer» B. flexibility |
16. |
Which strategy is used for delaying a choice during search? |
A. | first commitment |
B. | least commitment |
C. | both a & b |
D. | none of the mentioned |
Answer» B. least commitment |
17. |
Which algorithm place two actions into a plan without specifying which should come first? |
A. | full-order planner |
B. | total-order planner |
C. | semi-order planner |
D. | partial-order planner |
Answer» D. partial-order planner |
18. |
How many possible plans are available in partial-order solution? |
A. | 3 |
B. | 4 |
C. | 5 |
D. | 6 |
Answer» D. 6 |
19. |
What is the other name of each and every total-order plans? |
A. | polarization |
B. | linearization |
C. | solarization |
D. | none of the mentioned |
Answer» B. linearization |
20. |
What is the study of light? |
A. | biology |
B. | light logy |
C. | photometry |
D. | all of the mentioned |
Answer» C. photometry |
21. |
First Order Logic is also known as, |
A. | first order predicate calculus |
B. | quantification theory |
C. | lower order calculus |
D. | all of the mentioned above |
Answer» D. all of the mentioned above |
22. |
Which is not Familiar Connectives in First Order Logic? |
A. | and |
B. | iff |
C. | or |
D. | not |
Answer» D. not |
23. |
Inference algorithm is complete only if, |
A. | it can derive any sentence |
B. | it can derive any sentence that is an entailed version |
C. | it is truth preserving |
D. | both b & c |
Answer» D. both b & c |
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