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On the Consistency of Multiclass Classification Methods

Tewari, Ambuj & Bartlett, Peter L. (2005) On the Consistency of Multiclass Classification Methods. Learning Theory, 3559, pp. 272-284.

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    Abstract

    Binary classification methods can be generalized in many ways to handle multiple classes. It turns out that not all generalizations preserve the nice property of Bayes consistency. We provide a necessary and sufficient condition for consistency which applies to a large class of multiclass classification methods. The approach is illustrated by applying it to some multiclass methods proposed in the literature.

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    ID Code: 47457
    Item Type: Journal Article
    DOI: 10.1007/11503415_10
    ISSN: 0302-9743
    Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
    Past > Schools > Mathematical Sciences
    Copyright Owner: Copyright 2005 Springer
    Copyright Statement: Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
    Deposited On: 02 Dec 2011 13:11
    Last Modified: 02 Feb 2012 21:22

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