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In essence, examples belonging to large disjuncts are classified by rules produced by a decision-tree algorithm (C4.5), while examples belonging to small disjuncts are classified by a genetic-algorithm specifically designed for discovering small-disjunct rules.
In our hybrid approach, we have developed two genetic algorithms (GA) specifically designed for discovering rules covering examples belonging to small disjuncts, whereas a conventional decision tree algorithm is used to produce rules covering examples belonging to large disjuncts.
A wide number of real word applications presents a class distribution where examples belonging to one class heavily outnumber the examples in the other class.
As noted in [16], the relative strengths of the teacher's outputs imply the extent to which a given input appears similar to examples belonging to other classes and this is important information for learning how to generalize well.
A high value of the Fisher discriminant ratio indicates that there exists a vector that can separate examples belonging to different classes after these instances are projected on it.
Further assume that the examples are linearly separable, i.e., that there are, in descriptor space, linear surfaces of equation f(x) = 0 that separate all examples without error: f(x i ) > 0 for all examples belonging to class A and f(x i ) < 0 otherwise.
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Most surviving examples belong to the 17th century.
The following examples belong to the case.
These examples belong to the most crucial subsection of the symbolic capital, which is cultural capital.
These examples belong to the type 2 incoherent class of FFLs, in which each TF acts exclusively as a repressor of transcription.
The examples belong to a number of genres, namely biography, diary, drama, education, fiction, handbook, history, law, letters, philosophy, science, sermon, travelogue and trials.
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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