conference

Complexity of Computing Vapnik-Chervonenkis Dimension.

ALT, , pp.279-287 (1993), [peer-reviewed]

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Abstract / 概要

The Vapnik-Chervonenkis (VC) dimension is known to be the crucial measure of the polynomial-sample learnability in the PAC-learning model. This paper investigates the complexity of computing VC-dimension of a concept class over a finite learning domain. We consider a…