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Unique negative dimension : ウィキペディア英語版
Unique negative dimension

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 D\subseteq C such that for every concept c\in D, we have \cap (D\setminus \)\setminus 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.
==See also==

* Computational learning theory


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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