Download AKTU B-Tech 7th Sem 2018-2019 NCS 702 Artificial Intelligence Question Paper

Download AKTU (Dr. A.P.J. Abdul Kalam Technical University (AKTU), formerly Uttar Pradesh Technical University (UPTU) B-Tech 7th Semester (Seventh Semester) 2018-2019 NCS 702 Artificial Intelligence Question Paper

Printed Paes: 02 Sub Code: NCS702
rapermz? mum I III I I I FI I
B. TECH.
(SEM VII) THEORY EXAMINATION 2018-19
ARTIFICIAL INTELLIGENCE
Time: 3 Hours Total Marks: [00
Note: 1. Attempt all Sections. If require any missing data; then choose suitably.
SECTION A
l. Attempt all questions in brief. 2 x10 = 20
De?ne learning agent with the help of architecture.
What is Computer vision?
Write down the time and space complexity of DFS search strategies.
Stale soundness property of Inference.
Design the PEAS measure for ?Satellite Agent?.
List out the application area of machine learning.
. De?ne Supervised and Unsupervised Learning in machine leaming?.?
. What is decision tree?
Differentiate between classi?cation and regression? ?
Discuss the features of Support vector machine.
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2. Attempt any three of the following: ,
State the various properties of enviromriv,a
What Is the role of NLP m AI? Illustrate the various phases In NLP.
Discuss the problems of Hill glg?hing algorithm? ?
Apply K-means algorithm fo?clhstering data with the help of example
e. Analysis the various feaqge; xtraction and selection methods In pattem recognition
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SECTION C 4,
3. Attempt any one part of the following: ? ' 10 x l
(a) Describe brie?y the evolution of arti?cial Intelligence
(b) List the criteria to measure the performance of ?ifferem search strategies.
4. Attempt any one part of the following: I ' ? 10 x I
(a) Ditferentiate between torward andb'ackwaid chaining of Inference with the
help of an example
(b) What is heuristic function? Differentiate Blind search and Heuristic Search
strategies.
5. Attempt any one part of th?dllowing: 10 x I
(a) What is prepositional logic? De?ne the various inference rules with the help of
example.
(b) What is reinforcement learning? Differentiate between active and passive
reinforcement learning.
6. Attempt any one part of the following: 10 x l
(a) What do you understand by Infonnation Gain? How it is calculated?
(b) What is regression? Compare between linear regression and non-linear
regression?
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7. Attempt any one part of the following: 10 x l
(a)
(b)
What do you mean by dimension reduction? Discuss principal component
analysis (PCA) for dimension reduction.
What is Bayesian Theory? Explain the role of prior probability and posterior
probability in Bayesian Classi?cation?