On the consistency of multiclass classification methods


Autoria(s): Tewari, Ambuj; Bartlett, Peter L.
Data(s)

2005

Resumo

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.

Identificador

http://eprints.qut.edu.au/43968/

Publicador

Springer

Relação

DOI:10.1007/11503415_10

Tewari, Ambuj & Bartlett, Peter L. (2005) On the consistency of multiclass classification methods. Lecture Notes in Computer Science, 3559, pp. 143-157.

Direitos

Copyright 2005 Springer

Fonte

Faculty of Science and Technology; Mathematical Sciences

Palavras-Chave #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
Tipo

Journal Article