The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
An Adaptive Version of the Boost by Majority Algorithm
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Citations
Cites
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466
Self-citationBreiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Introduction to Numerical Analysis.
Froberg, C.-E., Stoer, J., & Bulirsch, R. (1981) · Mathematics of Computation · doi:10.2307/2007454 · Cited by 5,463
The Strength of Weak Learnability
Schapire, R. E. (1990) · Machine Learning · doi:10.1007/bf00116037 · Cited by 4,600
Dietterich, T. G. (2000) · Machine Learning · doi:10.1023/a:1007607513941 · Cited by 2,941
Improved boosting algorithms using confidence-rated predictions
Schapire, R. E., & Singer, Y. (1998) · Proceedings of the eleventh annual conference on Computational learning theory · doi:10.1145/279943.279960 · Cited by 2,547
Boosting the margin: a new explanation for the effectiveness of voting methods
Bartlett, P., Freund, Y., Lee, W. S., & Schapire, R. E. (1998) · The Annals of Statistics · doi:10.1214/aos/1024691352 · Cited by 2,306
Self-citationImproved Boosting Algorithms Using Confidence-rated Predictions
Schapire, R. E., & Singer, Y. (1999) · Machine Learning · doi:10.1023/a:1007614523901 · Cited by 1,971
Boosting a Weak Learning Algorithm by Majority
Freund, Y. (1995) · Information and Computation · doi:10.1006/inco.1995.1136 · Cited by 1,674
Self-citation
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
Avidan, S. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.35 · Cited by 1,112
Schapire, R. E. (2013) · Empirical Inference · doi:10.1007/978-3-642-41136-6_5 · Cited by 1,013
An Introduction to Boosting and Leveraging
Meir, R., & Rätsch, G. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-36434-x_4 · Cited by 447
High-Performance Rotation Invariant Multiview Face Detection
Huang, C., Ai, H., Li, Y., & Lao, S. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1011 · Cited by 366
Metadata
- Authors
- Freund, Y.
- Venue
- Machine Learning
- Published
- 2001-06
- Volume
- 43
- Issue
- 3
- Pages
- 293-318
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1931284523
- Cited by
- 270
- References
- 17
- FWCI
- 7.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Freund, Y. (2001). An Adaptive Version of the Boost by Majority Algorithm. Machine Learning. https://doi.org/10.1023/a%3A1010852229904
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.
