The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Relaxed Online Maximum Margin Algorithm
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
An Iterative Procedure for Computing the Minimum of a Quadratic Form on a Convex Set
Gilbert, E. G. (1966) · SIAM Journal on Control · doi:10.1137/0304007 · Cited by 230
Cited by
Classification in the Presence of Label Noise: A Survey
Frenay, B., & Verleysen, M. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2292894 · Cited by 1,777
Recent Advances in Adversarial Training for Adversarial Robustness
Bai, T., Luo, J., Zhao, J., Wen, B., & Wang, Q. (2021) · arXiv · doi:10.48550/arxiv.2102.01356 · Cited by 490
“2, a series of methods [Alayrac et al., 2019; Carmon et al., 2019] leverage semi/unsupervised learning on unlabeled data to enhance the generalization of adversarial training.”
BackgroundMethodResultInfluential
Metadata
- Authors
- Li, Y., & Long, P. M.
- Venue
- Machine Learning
- Published
- 2002-01
- Volume
- 46
- Issue
- 1-3
- Pages
- 361-387
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1709057194
- Cited by
- 225
- References
- 3
- FWCI
- 11.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
Statistics and arithmetic are recomputed, not judged.
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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.
