The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Sample compression, learnability, and the Vapnik-Chervonenkis dimension
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Citations
Cites
The Strength of Weak Learnability
Schapire, R. E. (1990) · Machine Learning · doi:10.1007/bf00116037 · Cited by 4,600
Valiant, L. G. (1984) · Communications of the ACM · doi:10.1145/1968.1972 · Cited by 3,279
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
Vapnik, V. N., & Chervonenkis, A. Y. (2015) · Measures of Complexity · doi:10.1007/978-3-319-21852-6_3 · Cited by 3,105
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
Vapnik, V. N., & Chervonenkis, A. Y. (1971) · Theory of Probability & Its Applications · doi:10.1137/1116025 · Cited by 2,448
Angluin, D. (1988) · Machine Learning · doi:10.1007/bf00116828 · Cited by 1,905
Learnability and the Vapnik-Chervonenkis dimension
Blumer, A., Ehrenfeucht, A., Haussler, D., & Warmuth, M. K. (1989) · Journal of the ACM · doi:10.1145/76359.76371 · Cited by 1,839
Self-citationBoosting a Weak Learning Algorithm by Majority
Freund, Y. (1995) · Information and Computation · doi:10.1006/inco.1995.1136 · Cited by 1,674
Blumer, A., Ehrenfeucht, A., Haussler, D., & Warmuth, M. K. (1987) · Information Processing Letters · doi:10.1016/0020-0190(87)90114-1 · Cited by 1,054
Self-citationStochastic Complexity and Modeling
Rissanen, J. (1986) · The Annals of Statistics · doi:10.1214/aos/1176350051 · Cited by 922
On the density of families of sets
Sauer, N. (1972) · Journal of Combinatorial Theory, Series A · doi:10.1016/0097-3165(72)90019-2 · Cited by 844
Cited by
(2015) · Cited by 2,857
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Kubat, M., Holte, R. C., & Matwin, S. (1998) · Machine Learning · doi:10.1023/a:1007452223027 · Cited by 1,243
Structural risk minimization over data-dependent hierarchies
Shawe-Taylor, J., Bartlett, P. L., Williamson, R. C., & Anthony, M. (1998) · IEEE Transactions on Information Theory · doi:10.1109/18.705570 · Cited by 527
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
Clarkson, K. L. (2010) · ACM Transactions on Algorithms · doi:10.1145/1824777.1824783 · Cited by 379
Vincent, P., & Bengio, Y. (2002) · Machine Learning · doi:10.1023/a:1013955821559 · Cited by 317
Metadata
- Authors
- Floyd, S., & Warmuth, M.
- Venue
- Machine Learning
- Published
- 1995-12
- Volume
- 21
- Issue
- 3
- Pages
- 269-304
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2150434953
- Cited by
- 256
- References
- 31
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Sample compression, learnability, and the Vapnik-Chervonenkis dimension. https://app.cochat.ai/papers/10.1007/bf00993593
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- Floyd, S., & Warmuth, M. (1995). Sample compression, learnability, and the Vapnik-Chervonenkis dimension. Machine Learning. https://doi.org/10.1007/bf00993593
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.
