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A sufficient condition for polynomial distribution-dependent learnability

Anthony, M. and Shawe-Taylor, J. (1997) A sufficient condition for polynomial distribution-dependent learnability Discrete Applied Mathematics, 77, (1), pp. 1-12.

Record type: Article


We investigate upper bounds on the sample-size sufficient for 'solid' learnability with respect to a probability distribution. Extending analysis of Ben-David et al. (1989, 1995) and Bendek and Itai (1991) we obtain a sufficient condition for feasible (polynomially bounded) sample-size bounds for distribution-specific (solid) learnability.

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Published date: June 1997
Organisations: Electronics & Computer Science


Local EPrints ID: 259794
ISSN: 0166-218X
PURE UUID: efa5f887-a7fc-45e4-a9a4-f6997a34a98f

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Date deposited: 17 Aug 2004
Last modified: 18 Jul 2017 09:19

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Author: M. Anthony
Author: J. Shawe-Taylor

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