On the consistency of multiclass classification methods
Data(s) |
2005
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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 | |
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 |