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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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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|Item Type:||Journal Article|
|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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