The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Support Vector Machine
Overview
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Claims the paper makes
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Cited by
Object Detection With Deep Learning: A Review
Zhao, Z.-Q., Zheng, P., Xu, S.-T., & Wu, X. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2876865 · Cited by 5,545
A review of object detection based on deep learning
Xiao, Y., Tian, Z., Yu, J., Zhang, Y., Liu, S., Du, S., & Lan, X. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08976-6 · Cited by 584
A Survey on SCADA Systems: Secure Protocols, Incidents, Threats and Tactics
Pliatsios, D., Sarigiannidis, P., Lagkas, T., & Sarigiannidis, A. G. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2987688 · Cited by 320
Machine learning for medical ultrasound: status, methods, and future opportunities
Brattain, L. J., Telfer, B. A., Dhyani, M., Grajo, J. R., & Samir, A. E. (2018) · Abdominal Radiology · doi:10.1007/s00261-018-1517-0 · Cited by 262
Yu, C., Han, R., Song, M., Liu, C., & Chang, C.-I. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2020.2983224 · Cited by 258
Metadata
- Authors
- Suthaharan, S.
- Venue
- Integrated Series in Information Systems
- Publisher
- Springer US
- Published
- 2016
- Pages
- 207-235
- ISSN
- 1571-0270 (ISSN-L)
- 2197-7968
- OpenAlex
- W2768149277
- Cited by
- 1,579
- References
- 1
- FWCI
- 353.59
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Support Vector Machine. https://app.cochat.ai/papers/10.1007/978-1-4899-7641-3_9
- The paper
- Suthaharan, S. (2016). Support Vector Machine. Integrated Series in Information Systems. https://doi.org/10.1007/978-1-4899-7641-3_9
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.