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This section includes 9 Mcqs, each offering curated multiple-choice questions to sharpen your Artificial Intelligence knowledge and support exam preparation. Choose a topic below to get started.
1. |
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» C. Constant time | |
2. |
WHICH_REVEALS_AN_IMPROVEMENT_IN_ONLINE_SMOOTHING??$ |
A. | Matrix formulation |
B. | Revelation |
C. | HMM |
D. | None of the mentioned |
Answer» B. Revelation | |
3. |
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» C. HMM | |
4. |
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 |
Answer» B. Understanding of real world | |
5. |
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 |
Answer» C. Temporary model | |
6. |
Where does the additional variables are added in HMM? |
A. | Temporal model |
B. | Reality model |
C. | Probability model |
D. | All of the mentioned |
Answer» B. Reality model | |
7. |
What are the possible values of the variable? |
A. | Variables |
B. | Literals |
C. | Discrete variable |
D. | Possible states of the world |
Answer» E. | |
8. |
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» D. None of the mentioned | |
9. |
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» C. Depth-first search | |