Unique negative dimension
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Unique negative dimension (UND) is a complexity measure for the model of .
The unique negative dimension of a class of concepts is the size of the maximum subclass such that for every concept , we have 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.
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Categories:
- Computational learning theory
- Artificial intelligence stubs