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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. We show conceptually and experimentally that the proposed approaches are more stable than two existing popular methods: voting and [3]. (Update)
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BibTeX entry: (Update)
T.-F. Wu, C.-J. Lin, and R. C. Weng. Probability estimates for multi-class classification by pairwise coupling. In Proceedings of NIPS 2003. http://citeseer.ist.psu.edu/wu03probability.html More
@misc{ wu03probability,
author = "T. Wu and C. Lin and R. Weng",
title = "Probability estimates for multi-class classification by pairwise coupling",
text = "T.-F. Wu, C.-J. Lin, and R. C. Weng. Probability estimates for multi-class
classification by pairwise coupling. In Proceedings of NIPS 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/wu03probability.html" }
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77 Probabilistic outputs for support vector machines and compar.. - Platt - 2000
75 Gradient-based learning applied to document recognition - LeCun, Bottou et al. - 1998
54 A database for handwritten text recognition research (context) - Hull - 1994
43 Classification by pairwise coupling - Hastie, Tibshirani - 1998
37 Another approach to polychotomous classification (context) - Friedman - 1996
15 Single-layer learning revisited: a stepwise procedure for bu.. (context) - Knerr, Personnaz et al. - 1990
4 A note on Platt's probabilistic outputs for support vector m.. - Lin, Lin et al. - 2003
4 Data available httpwww (context) - Spiegelhalter, Learning et al. - 1994
3 MM algorithms for generalized Bradley-Terry models (context) - Hunter - 2004
3 Probabilistic approach for multiclass classification with ne.. (context) - Refregier, Vallet - 1991
2 Pairwise nerual network classifiers with probabilistic outpu.. (context) - Price, Knerr et al. - 1995
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