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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 (Unpublished) http://resolver.caltech.edu/CaltechCSTR:1997.cs-tr-97-14

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Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechCSTR:1997.cs-tr-97-14

Abstract

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.
DOI:10.7907/Z9CZ355Q
Record Number:CaltechCSTR:1997.cs-tr-97-14
Persistent URL:http://resolver.caltech.edu/CaltechCSTR:1997.cs-tr-97-14
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
Collection:CaltechCSTR
Deposited By: Imported from CaltechCSTR
Deposited On:25 Apr 2001
Last Modified:28 Mar 2017 15:59

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