The search algorithm which is similar to the minimax search, but removes the branches that don't affect the final output is known as__.

AILABQuiz

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Computers
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University
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Easy
Sumab Rao
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8 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Depth-first search
Breadth-first search
Alpha-beta pruning
None of these
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Among the given options, which search algorithm requires less memory?
Depth First Search
Breadth-First Search
Can ‘t tell
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The PEAS in the task environment is about____________.
Peer, Environment, Actuators, Sense
Performance, Environment, Actuators, Sensors
Perceiving, Environment, Actuators, Sensors
None of these
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A* Algorithm based on
Depth-first search
Breadth-first search
Best-first Search
None of these
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the assumptions of Naïve Bayesian classifier?
None of these
It assumes that each input variable is dependent
It assumes that each input attributes are independent of each other
It assumes that the data dimensions are dependent
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Arrange the following steps in sequence in order to calculate the probability of an event through Naïve Bayes classifier.
I. Find the likelihood probability with each attribute for each class.
II. Calculate the prior probability for given class labels.
III. Put these values in Bayes formula and calculate posterior probability.
IV. See which class has a higher probability, given the input belongs to the higher probability class.
I → II → III → IV
II → I → III → IV
III → II → I → IV
II → III → I → IV
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following is an example of an ensemble learning algorithm?
Decision Tree
K-Nearest Neighbors (KNN)
Support Vector Machine (SVM)
Random Forest
8.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Ensemble of classifiers can be constructed by
manipulating training set
manipulating input features
manipulating class labels
all of these
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