Q. What is the purpose of the equivalence relation in CaRLA?

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Q. How does CaRLA distinguish between property value pairs that should be merged?

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Q. What are the two sets of transformation rules generated by CaRLA?

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Q. What does the set P of positive training examples consist of in CaRLA?

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Q. What does the set N of negative training examples consist of in CaRLA?

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Q. What is the similarity condition used for in CaRLA?

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Q. How does CaRLA determine the final set of rules and the value of θ?

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Q. What constitutes the output of CaRLA?

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Q. What similarity measure is used in CaRLA?

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Q. What is the goal of the rule generation set in CaRLA?

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Q. What is the purpose of the rule score function in CaRLA?

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Q. How is the score of rules <x → ε> adjusted in CaRLA?

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Q. How does CaRLA handle ties when choosing between rules <x → y> and <x → y′>?

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Q. What is the final score function used in CaRLA?

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Q. What does CaRLA do in the rule merging step?

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Q. How are low-weight rules handled in CaRLA during rule merging and filtering?

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Q. What determines the initial similarity threshold θ in CaRLA?

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Q. How does CaRLA compute the final value of θ?

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Q. What does the output of CaRLA consist of?

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Q. What is the goal of the rule falsification step in CaRLA?

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