Question

How does CaRLA extend to aCARLA?

a.

By using a larger training set P0 and N0

b.

By introducing additional transformation rules

c.

By using a smaller score threshold smin

d.

By incorporating active learning with small training sets and requesting annotations

Posted under Big Data Computing

Answer: (d).By incorporating active learning with small training sets and requesting annotations Explanation:CaRLA extends to aCARLA by incorporating active learning with small training sets and requesting annotations from the user. In aCARLA, the algorithm starts with small training sets and, in each iteration, tries to validate or refute transformation rules with low confidence. It fetches additional property values for validation and continues the learning process until a stopping condition is met, such as a maximum number of questions. This extension helps CaRLA detect pairs of annotations that lead to a larger set of high-quality rules efficiently.

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