Question 1 : Which approach is used for refining a very general rule through ILP?
1. Top-down approach
2. Bottom-up approach
3. Both Top-down & Bottom-up approach
4. None of the mentioned
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Question 2 : Which inverts a complete resolution strategy?
1. Inverse resolution
2. Resolution
3. Trilogy
4. None of the mentioned
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Question 3 : How many literals are available in top-down inductive learning methods?
1. 1
2. 2
3. 3
4. 4
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Question 4 : What need to be satisfied in inductive logic programming?
1. Constraint
2. Entailment constraint
3. Both Constraint & Entailment constraint
4. None of the mentioned
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Question 5 : Which produces hypotheses that are easy to read for humans?
1. ILP
2. Artificial intelligence
3. Propositional logic
4. First-order logic
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Question 6 : Which is an appropriate language for describing the relationships?
1. First-order logic
2. Propositional logic
3. ILP
4. None of the mentioned
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Question 7 : Which cannot be represented by a set of attributes?
1. Program
2. Three-dimensional configuration of a protein molecule
3. Agents
4. None of the mentioned
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Question 8 : How many reasons are available for the popularity of ILP?
1. 1
2. 2
3. 3
4. 4
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Question 9 : Which combines inductive methods with the power of first-order representations?
1. Inductive programming
2. Logic programming
3. Inductive logic programming
4. Lisp programming
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Question 10 : Following are the advantage/s of Decision Trees. Choose that apply.
1. Possible Scenarios can be added
2. Use a white box model, If given result is provided by a model
3. Worst, best and expected values can be determined for different scenarios
4. All of the mentioned
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