The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Least Squares Support Vector Machine Classifiers
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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
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Cited by
Machine Learning in Agriculture: A Review
Liakos, K., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018) · Sensors · doi:10.3390/s18082674 · Cited by 3,441
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
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
Jing, L., & Tian, Y. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.2992393 · Cited by 2,036
Quantum Support Vector Machine for Big Data Classification
Rebentrost, P., Mohseni, M., & Lloyd, S. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.130503 · Cited by 1,951
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
- Suykens, J. A. K., & Vandewalle, J.
- Venue
- Neural Processing Letters
- Published
- 1999-06
- Volume
- 9
- Issue
- 3
- Pages
- 293-300
- ISSN
- 1370-4621 (ISSN-L)
- 1573-773X
- OpenAlex
- W1596717185
- Cited by
- 9,362
- References
- 3
- FWCI
- 13.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Suykens, J. A. K., & Vandewalle, J. (1999). Least Squares Support Vector Machine Classifiers. Neural Processing Letters. https://doi.org/10.1023/a%3A1018628609742
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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.