The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Classification by pairwise coupling
Abstract
We discuss a strategy for polychotomous classification that involves coupling the estimating class probabilities for each pair of classes, and estimates together. The coupling model is similar to the Bradley-Terry method for paired comparisons. We study the nature of the class probability estimates that arise, and examine the performance of the procedure in real and simulated data sets. Classifiers used include linear discriminants, nearest neighbors, adaptive nonlinear methods and the support vector machine.
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Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
A training algorithm for optimal margin classifiers
Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory · doi:10.1145/130385.130401 · Cited by 11,992
Multivariate Adaptive Regression Splines
Friedman, J. H. (1991) · The Annals of Statistics · doi:10.1214/aos/1176347963 · Cited by 8,000
Hastie, T., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013604 · Cited by 3,409
Self-citationRank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
Bradley, R. A., & Terry, M. E. (1952) · Biometrika · doi:10.2307/2334029 · Cited by 2,412
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RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS: THE METHOD OF PAIRED COMPARISONS
BRADLEY, R. A., & TERRY, M. E. (1952) · Biometrika · doi:10.1093/biomet/39.3-4.324 · Cited by 1,434
Flexible Discriminant Analysis by Optimal Scoring
Hastie, T., Tibshirani, R., & Buja, A. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476866 · Cited by 883
Self-citationFlexible Parsimonious Smoothing and Additive Modeling
Friedman, J. H., & Silverman, B. W. (1989) · Technometrics · doi:10.1080/00401706.1989.10488470 · Cited by 443
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Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Self-citationLearning to rank using gradient descent
Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., & Hullender, G. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05 · doi:10.1145/1102351.1102363 · Cited by 2,836
Kernel-based methods for hyperspectral image classification
Camps-Valls, G., & Bruzzone, L. (2005) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.846154 · Cited by 1,453
Metadata
- Authors
- Hastie, T., & Tibshirani, R.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1998-04-01
- Volume
- 26
- Issue
- 2
- Pages
- 451-471
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W2019575783
- Cited by
- 1,299
- References
- 9
- FWCI
- 10.08
- Type
- journal article
- Language
- en
- Open access
- closed
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