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Similar Classifiers and VC Error Bounds

Bax, Eric (1997) Similar Classifiers and VC Error Bounds. California Institute of Technology , Pasadena, CA. (Unpublished)

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We improve error bounds based on VC analysis for classes with sets of similar classifiers. We apply the new error bounds to separating planes and artificial neural networks.

Item Type:Report or Paper (Technical Report)
Additional Information:© 1997 California Institute of Technology.
Group:Computer Science Technical Reports
Subject Keywords:machine learning, learning theory, generalization, Vapnik-Chervonenkis, separating planes, neural networks.
Record Number:CaltechCSTR:1997.cs-tr-97-14
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Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:26815
Deposited By: Imported from CaltechCSTR
Deposited On:25 Apr 2001
Last Modified:03 Oct 2019 03:18

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