The DOI matches its Crossref record.
Pairwise Classification and Support Vector Machines
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
A comprehensive survey on support vector machine classification: Applications, challenges and trends
Cervantes, J., Garcia-Lamont, F., Rodríguez-Mazahua, L., & Lopez, A. (2020) · Neurocomputing · doi:10.1016/j.neucom.2019.10.118 · Cited by 2,381
Automated classification of bird and amphibian calls using machine learning: A comparison of methods
Acevedo, M. A., Corrada-Bravo, C. J., Corrada-Bravo, H., Villanueva-Rivera, L. J., & Aide, T. M. (2009) · Ecological Informatics · doi:10.1016/j.ecoinf.2009.06.005 · Cited by 317
Xue-wu, Z., Yan-qiong, D., Yan-yun, L., Ai-ye, S., & Rui-yu, L. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.11.030 · Cited by 188
Dynamics of Facial Expression Extracted Automatically from Video
Littlewort, G., Bartlett, M. S., Fasel, I., Susskind, J., & Movellan, J. (2005) · 2004 Conference on Computer Vision and Pattern Recognition Workshop · doi:10.1109/cvpr.2004.327 · Cited by 126
An evolutionary classifier for steel surface defects with small sample set
Xiao, M., Jiang, M., Li, G., Xie, L., & Yi, L. (2017) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-017-0197-y · Cited by 55
Agarwal, K., Shivpuri, R., Zhu, Y., Chang, T.-S., & Huang, H. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.12.026 · Cited by 54
Application of Multi-Classification Support Vector Machine in the B-Placenta Image Classification
Liu, Z., Zheng, H., & Lin, S. (2009) · 2009 International Conference on Computational Intelligence and Software Engineering · doi:10.1109/cise.2009.5363285 · Cited by 8
Metadata
- Authors
- Kreßel, U.
- Venue
- Advances in Kernel Methods
- Publisher
- The MIT Press
- Published
- 1998-12-01
- Pages
- 255-268
- OpenAlex
- W2153104898
- Cited by
- 1,020
- References
- 0
- FWCI
- 11.67
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
