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We are the first group to conduct interviews targeting instances of outcome reporting bias and protocol changes.
Given a schema mapping, we then provide an algorithm to construct a canonical target instance.
This article investigates the construction of target instance for XML data exchange, which has received far less attention.
Moreover, we develop techniques to enforce non-key constraints on the canonical target instance, by providing a chase method to reason about data.
The higher the β, the more similar an unlabeled target instance is.
Using Pearson correlation [20], the similarity is measured between the new arriving target instance and its co-occurred counterpart.
The higher the α, the more similar a labeled source instance is to a labeled target instance of the same class.
Therefore, combining these two measures will provide us with the similarity of the arriving target instance with the source from a different feature space.
There are many possible models that produce the target instance.
Finally MAR combines the sensitivity distribution S i,k) (k = 1,2,..,N) and CV_Target(i) with respect to p(i) to explore the critical reactions responsible for determining the target instance.
First, I questioned whether the surprise exam should cover investment advisers with an independent qualified custodian or be targeted to instances where the investment adviser or a related person is the qualified custodian.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com