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The performance of a new hybrid classifier based on boxes and nearest neighbors

Anthony, Martin and Ratsaby, Joel (2011) The performance of a new hybrid classifier based on boxes and nearest neighbors. RUTCOR research reports, RRR 17-2011. Center for Operations Research, Rutgers University, Piscataway, New Jersey.

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Abstract

In this paper we present a new type of binary classifier defined on the unit cube. This classifier combines some of the aspects of the standard methods that have been used in the logical analysis of data (LAD) and geometric classifiers, with a nearest-neighbor paradigm. We assess the predictive performance of the new classifier in learning from a sample, obtaining generalization error bounds that improve as the ‘sample width’ of the classifier increases.

Item Type: Monograph (Report)
Official URL: http://rutcor.rutgers.edu/2011.html
Additional Information: © 2011 The Authors
Library of Congress subject classification: Q Science > QA Mathematics
Sets: Departments > Mathematics
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Identification Number: RRR 17-2011
Date Deposited: 11 Jul 2012 09:48
URL: http://eprints.lse.ac.uk/44762/

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