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The Weighted Majority Algorithm
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Citations
Cited by
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
A survey on concept drift adaptation
Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014) · ACM Computing Surveys · doi:10.1145/2523813 · Cited by 3,735
A survey of trust and reputation systems for online service provision
Jøsang, A., Ismail, R., & Boyd, C. (2007) · Decision Support Systems · doi:10.1016/j.dss.2005.05.019 · Cited by 3,330
(2015) · Cited by 2,857
(2002) · doi:10.1137/s0097539701398375 · Cited by 2,275
Machine learning: a review of classification and combining techniques
Kotsiantis, S. B., Zaharakis, I. D., & Pintelas, P. E. (2006) · Artificial Intelligence Review · doi:10.1007/s10462-007-9052-3 · Cited by 1,582
Huang, L., Joseph, A. D., Nelson, B., Rubinstein, B. I. P., & Tygar, J. D. (2011) · Proceedings of the 4th ACM workshop on Security and artificial intelligence · doi:10.1145/2046684.2046692 · Cited by 1,194
Foundations of Machine Learning
Mohri, M., Rostamizadeh, A., & Talwalkar, A. (2018) · doi:10.7551/mitpress/10290.001.0001 · Cited by 1,122
Ensemble learning for data stream analysis: A survey
Krawczyk, B., Minku, L. L., Gama, J., Stefanowski, J., & Woźniak, M. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.004 · Cited by 1,050
Learn++: an incremental learning algorithm for supervised neural networks
Polikar, R., Upda, L., Upda, S. S., & Honavar, V. (2001) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/5326.983933 · Cited by 888
A Survey on Ensemble Learning for Data Stream Classification
Gomes, H. M., Barddal, J. P., Enembreck, F., & Bifet, A. (2018) · ACM Computing Surveys · doi:10.1145/3054925 · Cited by 579
Game theory, on-line prediction and boosting
Freund, Y., & Schapire, R. E. (1996) · Proceedings of the ninth annual conference on Computational learning theory - COLT '96 · doi:10.1145/238061.238163 · Cited by 383
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Meta Fundamental AI Research Diplomacy Team (FAIR)†, Bakhtin, A., Brown, N., Dinan, E., Farina, G., Flaherty, C., Fried, D., Goff, A., Gray, J., Hu, H., et al. (2022) · Science · doi:10.1126/science.ade9097 · Cited by 241
Pinheiro, M. G., Madeira, S. C., & Francisco, A. P. (2023) · Applied Energy · doi:10.1016/j.apenergy.2022.120493 · Cited by 119
Chatzigoulas, A., & Cournia, Z. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbab518 · Cited by 32
(2003) · doi:10.71910/supsi.7059 · Cited by 11
Metadata
- Authors
- Littlestone, N., & Warmuth, M. K.
- Venue
- Information and Computation
- Publisher
- Elsevier BV
- Published
- 1994-02
- Volume
- 108
- Issue
- 2
- Pages
- 212-261
- ISSN
- 0890-5401 (ISSN-L)
- OpenAlex
- W2093825590
- Cited by
- 1,975
- References
- 0
- FWCI
- 30.56
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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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.