Probability Estimates for Multi-class Classification by Pairwise Coupling

Probability Estimates for Multi-class Classification by Pairwise Coupling (2003)

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by Ting-fan Wu , Chih-Jen Lin , Ruby C. Weng

Venue:	Journal of Machine Learning Research
Citations:	114 - 1 self

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@ARTICLE{Wu03probabilityestimates,
    author = {Ting-fan Wu and Chih-Jen Lin and Ruby C. Weng},
    title = {Probability Estimates for Multi-class Classification by Pairwise Coupling},
    journal = {Journal of Machine Learning Research},
    year = {2003},
    volume = {5},
    pages = {975--1005}
}

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Abstract

Pairwise coupling is a popular multi-class classification method that combines together all pairwise comparisons for each pair of classes. This paper presents two approaches for obtaining class probabilities. Both methods can be reduced to linear systems and are easy to implement.

Citations

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