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Feature-based machine learning algorithms require the instances to have a fixed set of attribute values from a feature space.
The focus of this study is on preserving the confidentiality of outsourced relational data, i.e., data that contains records consisting of a fixed set of attribute values.
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How can a fixed set of knowledge and resources be deployed to manage this uncertainty?
In a classification setting the network is asked to provide a prediction among a fixed set of distinct classes.
Moreover, as we do not fix the set of attribute values, i.e. the state space might be infinite, it is impossible to define each potential reaction.
Let A, B, and C denote attributes, and X, Y and Z denote sets of attributes.
The profile makes use of "stereotypes," which are grouped sets of attributes; the attributes, here, are technically "child" attributes, meaning that they hierarchically belong to the "parent" stereotype.
Let B be a fixed finite set (the set of attribute values).
"It is their improvised exchange with their subjects, not a kit of fixed and essential attributes, that distinguishes their work".
As the PC treatment alternatives described in our choice sets were very realistic, each treatment modality had several fixed attribute levels (i.e., one fixed attribute level for 'risk of other side effects', one fixed attribute level for 'frequency of PSA testing', and one fixed attribute level for 'treatment aim').
I think you have a whole 'nother set of attributes.
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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