adplus-dvertising
frame-decoration

Question

How does CaRLA handle the rule falsification process?

a.

It tries to validate all rules simultaneously

b.

It tries to refute or validate rules with a score below the score threshold smin

c.

It discards all rules that apply to elements of E by descending score

d.

It discards all rules with a score above the score threshold smin

Posted under Big Data Computing

Answer: (b).It tries to refute or validate rules with a score below the score threshold smin Explanation:CaRLA handles the rule falsification process by trying to refute or validate rules with a score below the score threshold smin. It does this iteratively by picking the most unsure rule and fetching a set of property values that map the left side (premise) of the rule. It then requests annotations for these property values to determine if the rule is valid or should be discarded.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. How does CaRLA handle the rule falsification process?

Similar Questions

Discover Related MCQs

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

Q. What does the output of CaRLA consist of?

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

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

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

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

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

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

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

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

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

Q. What similarity measure is used in CaRLA?

Q. What constitutes the output of CaRLA?

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

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

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

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

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

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

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