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Recent questions and answers in Artificial Intelligence
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DRDO CSE 2022 Paper 2 | Question: 29
$\max (0, x)$ and $\max (0.1 x, x)$ are _________ and ________ activation functions, respectively, which are non-linear in nature.
rsansiya111
answered
in
Artificial Intelligence
Dec 16, 2022
by
rsansiya111
184
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drdocse-2022-paper2
artificial-intelligence
4-marks
fill-in-the-blanks
1
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0
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2
DRDO CSE 2022 Paper 2 | Question: 28 (a)
Provide the correct answer for the following: ________ is not the best evaluation metric for cancer prediction problem.
admin
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Artificial Intelligence
Dec 15, 2022
by
admin
124
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drdocse-2022-paper2
artificial-intelligence
2-marks
fill-in-the-blanks
1
vote
0
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3
DRDO CSE 2022 Paper 2 | Question: 31
What is the State $\mathrm{X}$ called for the following machine learning model?
admin
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Artificial Intelligence
Dec 15, 2022
by
admin
104
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drdocse-2022-paper2
artificial-intelligence
2-marks
descriptive
1
vote
0
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4
DRDO CSE 2022 Paper 2 | Question: 32
A perceptron consists of weights $\left[w_{1}, w_{2}, w_{3}, w_{4}\right]=[0.5,2,1,-3]$. The activation function is provided as $y=f(z)=1$ if $z \geq 2$ otherwise $0,$ where $z= \sum(w . d)$. What is the output $y$ ...
admin
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Artificial Intelligence
Dec 15, 2022
by
admin
70
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drdocse-2022-paper2
artificial-intelligence
activation-function
5-marks
descriptive
1
vote
0
answers
5
DRDO CSE 2022 Paper 2 | Question: 28 (b)
Provide the correct answer for the following: The phenomena in which training error of the model decreases but test error increases is called___________.
admin
asked
in
Artificial Intelligence
Dec 15, 2022
by
admin
106
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drdocse-2022-paper2
artificial-intelligence
2-marks
fill-in-the-blanks
0
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0
answers
6
Machine Learning
You are a designing a machine learning model for a binary classification problem. The model has three features: f1, f2, f3. Derive the objective and loss function for this problem.
rayhanrjt
asked
in
Artificial Intelligence
Nov 25, 2022
by
rayhanrjt
110
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machine-learning
0
votes
3
answers
7
UGC NET CSE | June 2016 | Part 3 | Question: 66
A perceptron has input weights $W_1=-3.9$ and $W_2=1.1$ with threshold value $T=0.3.$ What output does it give for the input $x_1=1.3$ and $x_2=2.2?$ $-2.65$ $-2.30$ $0$ $1$
anis7860
answered
in
Artificial Intelligence
May 30, 2021
by
anis7860
797
views
ugcnetcse-june2016-paper3
0
votes
1
answer
8
UGC NET CSE | June 2016 | Part 3 | Question: 75
A software program that infers and manipulates existing knowledge in order to generate new knowledge is known as: Data dictionary Reference mechanism Inference engine Control strategy
soujanyareddy13
asked
in
Artificial Intelligence
May 10, 2021
by
soujanyareddy13
623
views
ugcnetcse-june2016-paper3
0
votes
0
answers
9
UGC NET CSE | October 2020 | Part 2 | Question: 36
Which of the following is NOT true in problem solving in artificial intelligence? Implements heuristic search technique Solution steps are not explicit Knowledge is imprecise It works on or implements repetition mechanism
go_editor
asked
in
Artificial Intelligence
Nov 20, 2020
by
go_editor
962
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ugcnetcse-oct2020-paper2
non-gate
artificial-intelligence
0
votes
2
answers
10
UGC NET CSE | July 2018 | Part 2 | Question: 71
In artificial Intelligence (AI), an environment is uncertain if it is ___ Not fully observable and not deterministic Not fully observable or not deterministic Fully observable but not deterministic Not fully observable but deterministic
abhishek tiwary
answered
in
Artificial Intelligence
Nov 10, 2020
by
abhishek tiwary
2.3k
views
ugcnetcse-july2018-paper2
artificial-intelligence
0
votes
3
answers
11
UGC NET CSE | January 2017 | Part 3 | Question: 55
Consider following two rules $\text{R1}$ and $\text{R2}$ in logical reasoning in Artificial Intelligence (AI): $\text{R1}:$ From $\alpha \supset \beta \; \frac{\text{and}\; \alpha}{\text{Inter} \; \beta }$ is known as Modulus Tollens (MT) ... is correct. Both $\text{R1}$ and $\text{R2}$ are correct. Neither $\text{R1}$ nor $\text{R2}$ is correct.
go_editor
asked
in
Artificial Intelligence
Mar 24, 2020
by
go_editor
1.1k
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ugcnetcse-jan2017-paper3
non-gate
artificial-intelligence
3
votes
2
answers
12
ISRO2018-75
ln neural network, the network capacity is defined as: The traffic (tarry capacity of the network The total number of nodes in the network The number of patterns that can be stored and recalled in a network None of the above
`JEET
answered
in
Artificial Intelligence
Jan 3, 2020
by
`JEET
2.1k
views
isro2018
non-gate
neural-network
1
vote
1
answer
13
UGC NET CSE | June 2019 | Part 2 | Question: 97
Consider the following: Evolution Selection Reproduction Mutation Which of the following are found in genetic algorithms? b, c and d only b and d only a, b, c and d a, b and d only
Rashmi Ashutosh Vish
answered
in
Artificial Intelligence
Nov 28, 2019
by
Rashmi Ashutosh Vish
5.3k
views
ugcnetcse-june2019-paper2
artificial-intelligence
genetic-algorithms
1
vote
1
answer
14
UGC NET CSE | June 2019 | Part 2 | Question: 94
A fuzzy conjunction operator denoted as $t(x,y)$ and a fuzzy disjunction operator denoted as $s(x,y)$ form a dual pair if they satisfy the condition: $t(x,y) = 1-s(x,y)$ $t(x,y) = s(1-x,1-y)$ $t(x,y) = 1-s(1-x,1-y)$ $t(x,y) = s(1+x,1+y)$
hashida
answered
in
Artificial Intelligence
Nov 15, 2019
by
hashida
3.0k
views
ugcnetcse-june2019-paper2
artificial-intelligence
fuzzy-logic
1
vote
1
answer
15
UGC NET CSE | June 2019 | Part 2 | Question: 100
Reinforcement learning can be formalized in terms of ____ in which the agent initially only knows the set of possible _____ and the set of possible actions. Markov decision processes, objects Hidden states, objects Markov decision processes, states objects, states
Nbhardwaj
answered
in
Artificial Intelligence
Sep 13, 2019
by
Nbhardwaj
1.4k
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ugcnetcse-june2019-paper2
artificial-intelligence
reinforcement-learning
2
votes
1
answer
16
UGC NET CSE | June 2019 | Part 2 | Question: 99
The value of the derivative of Sigmoid function given by $f(x)=\dfrac{1}{1+e^{-2x}}$ at $x=0$ is $0$ $\frac{1}{2}$ $\frac{1}{4}$ $\infty$
nirban.das
answered
in
Artificial Intelligence
Aug 31, 2019
by
nirban.das
1.8k
views
ugcnetcse-june2019-paper2
artificial-intelligence
sigmoid-function
1
vote
1
answer
17
UGC NET CSE | June 2019 | Part 2 | Question: 92
Math List-I with List-II: ... (c) - (i) (a) - (i) ; (b) - (iii); (c) - (ii) (a) - (ii) ; (b) - (iii); (c) - (i)
Sanjay Sharma
answered
in
Artificial Intelligence
Jul 12, 2019
by
Sanjay Sharma
1.5k
views
ugcnetcse-june2019-paper2
artificial-intelligence
searches
2
votes
1
answer
18
UGC NET CSE | June 2019 | Part 2 | Question: 91
Consider the game tree given below: Here $\bigcirc$ and $\Box$ represents MIN and MAX nodes respectively. The value of the root node of the game tree is $4$ $7$ $11$ $12$
Sanjay Sharma
answered
in
Artificial Intelligence
Jul 11, 2019
by
Sanjay Sharma
2.6k
views
ugcnetcse-june2019-paper2
artificial-intelligence
minimax-procedure
2
votes
1
answer
19
UGC NET CSE | June 2019 | Part 2 | Question: 98
Which of the following is an example of unsupervised neural network? Back-propagation network Hebb network Associative memory network Self-organizing feature map
Ram Swaroop
answered
in
Artificial Intelligence
Jul 6, 2019
by
Ram Swaroop
2.4k
views
ugcnetcse-june2019-paper2
artificial-intelligence
neural-network
1
vote
1
answer
20
UGC NET CSE | June 2019 | Part 2 | Question: 93
The STRIPS representation is a feature-centric representation an action-centric representation a combination of feature-centric and action-centric representations a hierarchical feature-centric representation
Ram Swaroop
answered
in
Artificial Intelligence
Jul 6, 2019
by
Ram Swaroop
2.0k
views
ugcnetcse-june2019-paper2
artificial-intelligence
strips
0
votes
1
answer
21
UGC NET CSE | July 2018 | Part 2 | Question: 72
In artificial Intelligence (AI), a simple reflex agent selects actions on the basis of ___ current percept, completely ignoring rest of the percept history rest of the percept history, completely ignoring the current percept both current percept and complete percept history both current percept and just previous percept
shahidhope
answered
in
Artificial Intelligence
Mar 6, 2019
by
shahidhope
1.6k
views
ugcnetcse-july2018-paper2
artificial-intelligence
0
votes
2
answers
22
UGC NET CSE | July 2018 | Part 2 | Question: 74
Consider following sentences regarding $A^*$, an informed search strategy in Artificial Intelligence (AI). $A^*$ expands all nodes with $f(n)<C^*$ $A^*$ expands no nodes with $f(n) \geq C^*$ Pruning is integral to $A^*$ ... Both statements a and statement c are true Both statements b and statement c are true All the statements a, b and c are true
kmittal1908
answered
in
Artificial Intelligence
Dec 12, 2018
by
kmittal1908
2.2k
views
ugcnetcse-july2018-paper2
artificial-intelligence
0
votes
1
answer
23
UGC NET CSE | July 2018 | Part 2 | Question: 78
Consider the following two sentences: The planning graph data structure can be used to give a better heuristic for a planning problem Dropping negative effects from every action schema in a planning problem results in a relaxed problem Which of the ... b are true Sentence a is true but sentence b is false Sentence a is false but sentence b is true
sunnykg
answered
in
Artificial Intelligence
Jul 20, 2018
by
sunnykg
1.4k
views
ugcnetcse-july2018-paper2
planning
0
votes
1
answer
24
UGC NET CSE | July 2018 | Part 2 | Question: 73
In heuristic search algorithms in Artificial Intelligence (AI), if a collection of admissible heuristics $h_1 \dots h_m$ is available for a problem and none of them dominates any of the others, which should we choose? $h(n)=max\{h_1(n), \dots , h_m(n)\}$ ... $h(n)=avg\{h_1(n), \dots , h_m(n)\}$ $h(n)=sum\{h_1(n), \dots , h_m(n)\}$
shahidhope
answered
in
Artificial Intelligence
Jul 15, 2018
by
shahidhope
1.7k
views
ugcnetcse-july2018-paper2
artificial-intelligence
0
votes
2
answers
25
UGC NET CSE | June 2014 | Part 3 | Question: 30
Slots and facets are used in Semantic Networks Frames Rules All of these
Prasanjeet Ghosh
answered
in
Artificial Intelligence
May 12, 2018
by
Prasanjeet Ghosh
3.1k
views
ugcnetjune2014iii
artificial-intelligence
0
votes
2
answers
26
UGC NET CSE | June 2014 | Part 3 | Question: 28
Match the following $:$ ... $\text{a-i, b-ii, c-iii, d-iv}$ $\text{a-iv, b-iii, c-ii, d-i}$
Prasanjeet Ghosh
answered
in
Artificial Intelligence
May 12, 2018
by
Prasanjeet Ghosh
1.9k
views
ugcnetjune2014iii
artificial-intelligence
0
votes
2
answers
27
UGC NET CSE | June 2014 | Part 3 | Question: 14
Which one of the following describes the syntax of prolog program? Rules and facts are terminated by full stop(.) Rules and facts are terminated by semi colon(;) Variables names must start with upper case alphabets. Variables names must start with lower case alphabets. I, II III, IV I, III II, IV
Prasanjeet Ghosh
answered
in
Artificial Intelligence
May 12, 2018
by
Prasanjeet Ghosh
3.7k
views
ugcnetjune2014iii
artificial-intelligence
prolog
0
votes
2
answers
28
UGC NET CSE | June 2014 | Part 3 | Question: 09
Perceptron learning, Delta learning and $LMS$ learning are learning methods which falls under the category of Error correction learning - learning with a teacher Reinforcement learning - learning with a critic Hebbian learning Competitive learning - learning without a teacher
Prasanjeet Ghosh
answered
in
Artificial Intelligence
May 12, 2018
by
Prasanjeet Ghosh
4.2k
views
ugcnetjune2014iii
machine-learning
0
votes
1
answer
29
Required Artificial Intelligence resources for UGC NET
Hi I need some useful resources of AI for upcoming UGC NET exam. Currently, I am reading from Rich and Knight, Is it enough? Please let me know about any good quality books or video lectures.
iarnav
answered
in
Artificial Intelligence
Mar 1, 2018
by
iarnav
1.7k
views
artificial
intelligence
ugc-net
0
votes
0
answers
30
Artificial Intelligence Heuristic problem Confusion
LavTheRawkstar
asked
in
Artificial Intelligence
Sep 27, 2017
by
LavTheRawkstar
415
views
artificial
intelligence
2
votes
1
answer
31
UGC NET CSE | December 2015 | Part 3 | Question: 64
Consider the two class classification task that consists of the following points: Class $C_1: [-1, -1], [-1, 1], [1, -1]$ Class $C_2: [1,1]$ The decision boundary between the two classes $C_1$ and $C_2$ using single perception is given by: $x_1-x_2-0.5=0$ $-x_1-x_2-0.5=0$ $0.5(x_1+x_2)-1.5=0$ $x_1+x_2-0.5=0$
Sanjay Sharma
answered
in
Artificial Intelligence
Jan 21, 2017
by
Sanjay Sharma
4.0k
views
ugcnetcse-dec2015-paper3
artificial-intelligence
3
votes
1
answer
32
UGC NET CSE | December 2015 | Part 3 | Question: 46
Language model used in LISP is Functional programming Logic programming Object oriented programming All of the above
sh!va
answered
in
Artificial Intelligence
Aug 11, 2016
by
sh!va
1.6k
views
ugcnetcse-dec2015-paper3
artificial-intelligence
1
vote
1
answer
33
UGC NET CSE | December 2015 | Part 3 | Question: 45
Reasoning strategies used in expert systems include Forward chaining, backward chaining and problem reduction Forward chaining, backward chaining and boundary mutation Forward chaining, backward chaining and back propagation Forward chaining, problem reduction and boundary mutation
sh!va
answered
in
Artificial Intelligence
Aug 11, 2016
by
sh!va
2.2k
views
ugcnetcse-dec2015-paper3
artificial-intelligence
expert-system
3
votes
1
answer
34
UGC NET CSE | December 2015 | Part 3 | Question: 8
Forward chaining systems are ____ where as backward chaining systems are ____ Data driven, Data driven Goal driven, Data driven Data driven, Goal driven Goal driven, Goal driven
Sanjay Sharma
answered
in
Artificial Intelligence
Aug 9, 2016
by
Sanjay Sharma
5.1k
views
ugcnetcse-dec2015-paper3
artificial-intelligence
chaining
3
votes
1
answer
35
UGC NET CSE | December 2014 | Part 3 | Question: 72
Match the following learning modes $w.r.t$. characteristics of available information for learning : a. Supervised i. Instructive information on desired responses, explicitly specified by a teacher. b. Recording ii. A priori design information for memory storing c. Reinforcement ... Codes : a b c d i ii iii iv i iii ii iv ii iv iii i ii iii iv i
Sanjay Sharma
answered
in
Artificial Intelligence
Aug 2, 2016
by
Sanjay Sharma
4.5k
views
ugcnetcse-dec2014-paper3
artificial-intelligence
machine-learning
2
votes
1
answer
36
UGC NET CSE | Junet 2015 | Part 3 | Question: 56
Match the following knowledge representation techniques with their applications $:$ ... $\text{(a)-(iv), (b)-(iii), (c)-(ii), (d)-(i)}$
Sanjay Sharma
answered
in
Artificial Intelligence
Aug 1, 2016
by
Sanjay Sharma
1.4k
views
ugcnetcse-june2015-paper3
artificial-intelligence
3
votes
1
answer
37
UGC NET CSE | Junet 2015 | Part 3 | Question: 59
Match the following with respect to heuristic search techniques $:$ ... $\text{(a)-(iv), (b)-(ii), (c)-(i), (d)-(iii)}$
Sanjay Sharma
answered
in
Artificial Intelligence
Aug 1, 2016
by
Sanjay Sharma
2.5k
views
ugcnetcse-june2015-paper3
artificial-intelligence
3
votes
1
answer
38
UGC NET CSE | Junet 2015 | Part 3 | Question: 23
Which of the following is false for the programming language PROLOG? A PROLOG variable can only be assigned to a value once PROLOG is a strongly typed language The scope of a variable in PROLOG is a single clause or rule The scope of a variable in PROLOG is a single query
Sanjay Sharma
answered
in
Artificial Intelligence
Aug 1, 2016
by
Sanjay Sharma
2.0k
views
ugcnetcse-june2015-paper3
artificial-intelligence
1
vote
1
answer
39
UGC NET CSE | December 2013 | Part 3 | Question: 26
The mean-end analysis process centers around the detection of differences between the current state and goal state. Once such a difference is isolated, an operator that can reduce the difference must be found. ... up to establish the precondition of operators is called backward planning goal stack planning operator subgoaling operator overloading
Sanjay Sharma
answered
in
Artificial Intelligence
Jul 28, 2016
by
Sanjay Sharma
2.6k
views
ugcnetcse-dec2013-paper3
artificial-intelligence
0
votes
1
answer
40
UGC NET CSE | December 2013 | Part 3 | Question: 30
An artificial neuron receives n inputs $x_1, x_2, \dots , x_n$ with weights $w_1, w_2, \dots , w_n$ attached to the input links. The weighted sum ____ is computed to be passed on to a non-linear filter $\phi$ called activation function to release the output ... $\Sigma \: x_i$ $\Sigma \: w_i + \Sigma \: x_i$ $\Sigma \: w_i \cdot \Sigma \: x_i$
Sanjay Sharma
answered
in
Artificial Intelligence
Jul 28, 2016
by
Sanjay Sharma
4.2k
views
ugcnetcse-dec2013-paper3
machine-learning
artificial-neural-network
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Recent questions and answers in Artificial Intelligence
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