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Sample Exclusion Dimension: Algorithmic Learning Theory, Boolean Function -

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2026-03-20
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High Quality Content by WIKIPEDIA articles! Exclusion dimension is a dimension in the exact concept learning with queries. 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 ... Visas aprašymas

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High Quality Content by WIKIPEDIA articles! Exclusion dimension is a dimension in the exact concept learning with queries. 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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Leidėjas OmniScriptum
Išleidimo metai 2026
Viršelio tipas Minkšti viršeliai
EAN 9786131190872
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125,22 € 166,96 €