Podcast
Questions and Answers
What is the main difference between the model discussed and theirs?
What is the main difference between the model discussed and theirs?
- Use of dampening factor
- Consideration of accuracy
- Handling dependence between sources (correct)
- Application of principled fashion
How does TRUTH FINDER address the possible dependence between sources?
How does TRUTH FINDER address the possible dependence between sources?
- By applying a principled fashion
- By ignoring the dependence
- By increasing the accuracy of sources
- By using a dampening factor (correct)
In the motivating example, what issue arises with TRUTH FINDER's approach to source dependence?
In the motivating example, what issue arises with TRUTH FINDER's approach to source dependence?
- It underestimates the accuracy of all sources
- It incorrectly decides that all values provided by S3 are true (correct)
- It overestimates the accuracy of all sources
- It fails to consider source accuracy altogether
How does the model discussed handle dependence between sources?
How does the model discussed handle dependence between sources?
What does the model discussed consider when examining the probability of dependence between data sources?
What does the model discussed consider when examining the probability of dependence between data sources?
What metric is used to compute confidence of affiliations in the motivating example?
What metric is used to compute confidence of affiliations in the motivating example?
What does 'f (d), d ∈ [0, 1], as the percentage of false values R1 whose distribution probability is d' represent?
What does 'f (d), d ∈ [0, 1], as the percentage of false values R1 whose distribution probability is d' represent?
'f (d)' is defined as the percentage of false values whose distribution probability is d; what does it imply about values with 'f (d) = 1'?
'f (d)' is defined as the percentage of false values whose distribution probability is d; what does it imply about values with 'f (d) = 1'?
'P r(O ∈ Ōf |S1 ⊥S2 ) = ε(S1 )ε(S2 )' is related to which concept?
'P r(O ∈ Ōf |S1 ⊥S2 ) = ε(S1 )ε(S2 )' is related to which concept?
'R1 2 d f (d)' is used to compute what specific probability in the given text?
'R1 2 d f (d)' is used to compute what specific probability in the given text?
