The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
On the Learnability and Design of Output Codes for Multiclass Problems
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Cited by
Machine learning: a review of classification and combining techniques
Kotsiantis, S. B., Zaharakis, I. D., & Pintelas, P. E. (2006) · Artificial Intelligence Review · doi:10.1007/s10462-007-9052-3 · Cited by 1,582
Credit rating analysis with support vector machines and neural networks: a market comparative study
Huang, Z., Chen, H., Hsu, C.-J., Chen, W.-H., & Wu, S. (2004) · Decision Support Systems · doi:10.1016/s0167-9236(03)00086-1 · Cited by 1,017
Li, T., Zhang, C., & Ogihara, M. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth267 · Cited by 648
Multiclass Support Vector Machines
Abe, S. (2010) · Advances in Pattern Recognition · doi:10.1007/978-1-84996-098-4_3 · Cited by 512
An Introduction to Boosting and Leveraging
Meir, R., & Rätsch, G. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-36434-x_4 · Cited by 447
Metadata
- Authors
- Crammer, K., & Singer, Y.
- Venue
- Machine Learning
- Published
- 2002-05
- Volume
- 47
- Issue
- 2-3
- Pages
- 201-233
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1602492977
- Cited by
- 650
- References
- 2
- FWCI
- 24.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Crammer, K., & Singer, Y. (2002). On the Learnability and Design of Output Codes for Multiclass Problems. Machine Learning. https://doi.org/10.1023/a%3A1013637720281
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
