The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Regularization Networks and Support Vector Machines
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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
Neural Networks: A Comprehensive Foundation
Haykin, S. (1998) · Cited by 30,070
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Daubechies, I., & Heil, C. (1992) · Computers in Physics · doi:10.1063/1.4823127 · Cited by 15,631
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Matching pursuits with time-frequency dictionaries
Mallat, S. G., & Zhang, Z. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258082 · Cited by 9,112
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Cited by
(2006) · Cited by 3,624
Multiclass cancer diagnosis using tumor gene expression signatures
Ramaswamy, S., Tamayo, P., Rifkin, R., Mukherjee, S., Yeang, C.-H., Angelo, M., Ladd, C., Reich, M., Latulippe, E., Mesirov, J. P., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.211566398 · Cited by 2,023
Self-citationOn the mathematical foundations of learning
Cucker, F., & Smale, S. (2001) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-01-00923-5 · Cited by 1,545
Regularized multi--task learning
Evgeniou, T., & Pontil, M. (2004) · Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1014052.1014067 · Cited by 1,433
Self-citationObject perception as Bayesian inference
Kersten, D., Mamassian, P., & Yuille, A. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142005 · Cited by 1,269
Metadata
- Authors
- Evgeniou, T., Pontil, M., & Poggio, T.
- Venue
- Advances in Computational Mathematics
- Published
- 2000-04
- Volume
- 13
- Issue
- 1
- Pages
- 1-50
- ISSN
- 1019-7168 (ISSN-L)
- 1572-9044
- OpenAlex
- W2110652811
- Cited by
- 1,197
- References
- 88
- FWCI
- 37.90
- Type
- journal article
- 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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- CoChat. (2026). Citation check: Regularization Networks and Support Vector Machines. https://app.cochat.ai/papers/10.1023/a:1018946025316
- The paper
- Evgeniou, T., Pontil, M., & Poggio, T. (2000). Regularization Networks and Support Vector Machines. Advances in Computational Mathematics. https://doi.org/10.1023/a%3A1018946025316
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.
