Explore topic-wise MCQs in Artificial Intelligence.

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
Discussion
2.

WHICH_REVEALS_AN_IMPROVEMENT_IN_ONLINE_SMOOTHING??$

A. Matrix formulation
B. Revelation
C. HMM
D. None of the mentioned
Answer» B. Revelation
Discussion
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
Discussion
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
Discussion
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
Discussion
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
Discussion
7.

What are the possible values of the variable?

A. Variables
B. Literals
C. Discrete variable
D. Possible states of the world
Answer» E.
Discussion
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
Discussion
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
Discussion