The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Support Vector Machines – An Introduction
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Cited by
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Aleem, S. A., Shahid, N., & Naqvi, I. H. (2015) · Energy Systems · doi:10.1007/s12667-014-0129-1 · Cited by 83
Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques
Mostafa, M. M., & El-Masry, A. A. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.03.007 · Cited by 60
A lightweight feature extraction technique for deepfake audio detection
Chakravarty, N., & Dua, M. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18217-9 · Cited by 40
Metadata
- Authors
- Kecman, V.
- Venue
- Studies in Fuzziness and Soft Computing
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005-04-22
- Pages
- 1-47
- ISSN
- 1434-9922 (ISSN-L)
- 1860-0808
- OpenAlex
- W2479224257
- Cited by
- 425
- References
- 2
- FWCI
- 1.65
- Type
- book chapter
- Language
- en
- Open access
- closed
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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.
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- The paper
- Kecman, V. (2005). Support Vector Machines – An Introduction. Studies in Fuzziness and Soft Computing. https://doi.org/10.1007/10984697_1
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.
