The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Reduction Techniques for Instance-Based Learning Algorithms
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
A massively parallel architecture for a self-organizing neural pattern recognition machine
Carpenter, G. A., & Grossberg, S. (1987) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(87)80014-2 · Cited by 2,525
Schaffer, C. (1993) · Machine Learning · doi:10.1023/a:1022653209073 · Cited by 310
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
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
HU, Q., YU, D., & XIE, Z. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.10.043 · Cited by 513
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy
García, S., & Herrera, F. (2009) · Evolutionary Computation · doi:10.1162/evco.2009.17.3.275 · Cited by 414
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
García, S., Luengo, J., & Herrera, F. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.006 · Cited by 310
Metadata
- Authors
- Wilson, D. R., & Martinez, T. R.
- Venue
- Machine Learning
- Published
- 2000-03
- Volume
- 38
- Issue
- 3
- Pages
- 257-286
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2122496402
- Cited by
- 1,182
- References
- 3
- FWCI
- 27.49
- 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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Reduction Techniques for Instance-Based Learning Algorithms. https://app.cochat.ai/papers/10.1023/a:1007626913721
- The paper
- Wilson, D. R., & Martinez, T. R. (2000). Reduction Techniques for Instance-Based Learning Algorithms. Machine Learning. https://doi.org/10.1023/a%3A1007626913721
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.
