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.Full text not available from this repository.
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)|
|Additional Information:||© 2011 The Authors|
|Library of Congress subject classification:||Q Science > QA Mathematics|
|Sets:||Departments > Mathematics|
|Identification Number:||RRR 17-2011|
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