Question 41 : How is Fuzzy Logic different from conventional control methods?
1. IF and THEN Approach
2. FOR Approach
3. WHILE Approach
4. DO Approach
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Question 42 : Following is also called as exploratory learning:
1. Supervised learning
2. Active learning
3. Unsupervised learning
4. Reinforcement learning
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Question 43 : Which of the following is the component of learning system?
1. Goal
2. Model
3. Learning rules
4. All of the mentioned
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Question 44 : Which of the following is not an application of learning?
1. Data mining
2. WWW
3. Speech recognition
4. None of the mentioned
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Question 45 : Decision trees are appropriate for the problems where:
1. Attributes are both numeric and nominal
2. Target function takes on a discrete number of values.
3. Data may have errors
4. All of the mentioned
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Question 46 : In which of the following learning the teacher returns reward and punishment to learner?
1. Active learning
2. Reinforcement learning
3. Supervised learning
4. Unsupervised learning
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Question 47 : Following is an example of active learning:
1. News Recommender system
2. Dust cleaning machine
3. Automated vehicle
4. None of the mentioned
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Question 48 : Which of the following is the model used for learning?
1. Decision trees
2. Neural networks
3. Propositional and FOL rules
4. All of the mentioned
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Question 49 : Different learning method does not include:
1. Memorization
2. Analogy
3. Deduction
4. Introduction
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Question 50 : Factors which affect the performance of learner system does not include
1. Representation scheme used
2. Training scenario
3. Type of feedback
4. Good data structures
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