The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Stacked regressions
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Citations
Cites
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Self-citationRidge regression: Biased estimation for nonorthogonal problems
Hoerl, A. E., & Kennard, R. W. (1970) · Technometrics · doi:10.1080/00401706.1970.10488634 · Cited by 9,648
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Estimating Optimal Transformations for Multiple Regression and Correlation
Breiman, L., & Friedman, J. H. (1985) · Journal of the American Statistical Association · doi:10.1080/01621459.1985.10478157 · Cited by 1,710
Self-citationRidge Regression: Biased Estimation for Nonorthogonal Problems
Hoerl, A. E., & Kennard, R. W. (2000) · Technometrics · doi:10.1080/00401706.2000.10485983 · Cited by 808
Submodel Selection and Evaluation in Regression. The X-Random Case
Breiman, L., & Spector, P. (1992) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1403680 · Cited by 669
Self-citationCombining Estimates in Regression and Classification
Leblanc, M., & Tibshirani, R. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476733 · Cited by 290
Combining Possibly Related Estimation Problems
Efron, B., & Morris, C. (1973) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1973.tb00968.x · Cited by 185
A James-Stein Type Estimator for Combining Unbiased and Possibly Biased Estimators
Green, E. J., & Strawderman, W. E. (1991) · Journal of the American Statistical Association · doi:10.1080/01621459.1991.10475144 · Cited by 64
Cited by
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
Pan-cancer analysis of whole genomes
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature · doi:10.1038/s41586-020-1969-6 · Cited by 3,064
Popular Ensemble Methods: An Empirical Study
Opitz, D., & Maclin, R. (1999) · Journal of Artificial Intelligence Research · doi:10.1613/jair.614 · Cited by 2,953
Deep Learning: Methods and Applications
Deng, L. (2014) · now publishers, Inc. eBooks · doi:10.1561/9781601988157 · Cited by 1,759
Computationally efficient whole-genome regression for quantitative and binary traits
Mbatchou, J., Barnard, L., Backman, J., Marcketta, A., Kosmicki, J. A., Ziyatdinov, A., Benner, C., O’Dushlaine, C., Barber, M., Boutkov, B., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00870-7 · Cited by 1,502
Metadata
- Authors
- Breiman, L.
- Venue
- Machine Learning
- Published
- 1996-07
- Volume
- 24
- Issue
- 1
- Pages
- 49-64
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2914369697
- Cited by
- 1,912
- References
- 11
- FWCI
- 49.05
- 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.
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- CoChat. (2026). Citation check: Stacked regressions. https://app.cochat.ai/papers/10.1007/bf00117832
- The paper
- Breiman, L. (1996). Stacked regressions. Machine Learning. https://doi.org/10.1007/bf00117832
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.
