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    Cat 2 CS3491 Set A

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    rimsharimshaparveen
    AI and ML cat question paper

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    Cat 2 CS3491 Set A

    Uploaded by

    rimsharimshaparveen
    19 views1 page
    AI and ML cat question paper

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    CAT 2 CS3491 SET A

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    AI and ML cat question paper

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    19 views1 page

    Cat 2 CS3491 Set A

    Uploaded by

    rimsharimshaparveen
    AI and ML cat question paper

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    of 1

    Date 16/21/2016

    ALPHA COLLEGE OF ENGINEERING Format No. EXP 01


    CONTINUOUS ASSESSMENT TEST- II Rev. No. 00

    Roll No.

    Artificial Intelligence and Machine


    Sub. Code CS3491 Sub. Name
    Learning
    Department CSE, IT Year/Sem II/IV
    Date of Exam Session FN
    Duration 90 mins. Maximum 50 marks

    CO2 Apply reasoning under uncertainty.


    BTL – Bloom’s Taxonomy Levels
    (L1-Remember, L2-Understand, L3-Apply, L4-Analyse, L5-Evaluate, L6-Create)

    Part-A (6 X 2 = 12 Marks)
    Q.No QUESTIONS Marks CO BTL
    1 What are the leading causes of uncertainty to occur in the real
    2 CO2 L1
    world?
    2 State Baye’s rule. 2 CO2 L2
    3 What is the need for probability theory in uncertainty? 2 CO2 L2
    4 What is Bayesian Belief Network? 2 CO2 L1
    5 Given that P(A)=0.3, P(A|B)=0.4 and P(B)=0.5, Compute P(B|A). 2 CO2 L2
    6 List the ways to solve problems with uncertain knowledge. 2 CO2 L1
    Part-B (38 Marks)
    Q.No QUESTIONS Marks CO BTL
    7 Elaborate on unconditional and conditional probability with an
    example.
    12 CO2 L2
    8 (a) What is Bayesian network? Explain the steps to followed to construct a
    Bayesian network with an example.
    13 CO2 L3
    (Or)
    8 (b) What do you mean by inference in Bayesian networks? Outline
    inference by enumeration with an example.
    13 CO2 L4
    9 (a) Explain in detail the direct sampling methods. 13 CO2 L2
    (Or)
    9 (b) Explain how does Bayesian statistics provide reasoning under various
    13 CO2 L1
    kinds of uncertainty.

    ***********************

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