The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
MultiBoosting: A Technique for Combining Boosting and Wagging
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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
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Neural Networks and the Bias/Variance Dilemma
Geman, S., Bienenstock, E., & Doursat, R. (1992) · Neural Computation · doi:10.1162/neco.1992.4.1.1 · Cited by 3,578 · cited 3×
“The bias and variance measures biasKW 2 x andvarianceKWx, developed by Kohavi and Wolpert (1996) are used in this research as representative of definitions derived from those for numeric regression.”
BackgroundMethodInfluential
Cited by
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
Geurts, P., Ernst, D., & Wehenkel, L. (2006) · Machine Learning · doi:10.1007/s10994-006-6226-1 · Cited by 9,300
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
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
Deep Forest: Towards An Alternative to Deep Neural Networks
Zhou, Z.-H., & Feng, J. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2017/497 · Cited by 935
Metadata
- Authors
- Webb, G. I.
- Venue
- Machine Learning
- Published
- 2000-08
- Volume
- 40
- Issue
- 2
- Pages
- 159-196
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2108949035
- Cited by
- 703
- References
- 6
- FWCI
- 11.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Webb, G. I. (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. https://doi.org/10.1023/a%3A1007659514849
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.
