Sample exclusion dimension

Sample exclusion dimension

Exclusion dimension is a dimension in the exact concept learning with queries. [citebook|title=Algorithmic Learning Theory: 12th International Conference, ALT 2001, Washington, DC, USA, November 2001, Proceedings|editor=N. Abe, R. Khardon, T. Zeugmann|author=D. Angluin|chapter=Queries Revisited|year=2001|publisher=Springer|url=http://books.google.com/books?hl=en&lr=&id=V77xyPlA41UC&oi=fnd&pg=PA12&dq=%22Sample+exclusion+dimension%22+-Wikipedia&ots=czZEqBZJgT&sig=In-6bsswOuRMJFSBld3fNSSLacU#PPA26,M1| pages=26-28|id=ISBN 3540428755]

In algorithmic learning theory, a concept over a domain "X" is a Boolean function over "X". Here we only consider finite domains. A partial approximation "S" of a concept "c" is a Boolean function over Ysubseteq X such that "c" is an extension to "S".

Let "C" be a class of concepts and "c" be a concept (not necessarily in "C"). Then a specifying set for c w.r.t. "C", denoted by "S" is a partial approximation "S" of "c" such that "C" contains at most one extension to "S". If we have observed a specifying set for some concept w.r.t. "C", then we have enough information to verify a concept in "C" with at most one more mind change. The exclusion dimension, denoted by "XD"("C"), of a concept class is the maximum of the size of the minimum specifying set of "c"' with respect to "C", where "c"' is a concept not in "C".

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