Unique negative dimension: Difference between revisions

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Latest revision as of 18:00, 25 June 2025

Unique negative dimension (UND) is a complexity measure for the model of learning from positive examples. The unique negative dimension of a class C of concepts is the size of the maximum subclass DC such that for every concept cD, we have (D{c})c is nonempty.

This concept was originally proposed by M. Gereb-Graus in "Complexity of learning from one-side examples", Technical Report TR-20-89, Harvard University Division of Engineering and Applied Science, 1989.[1][2][3]

See also

References

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