The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Conservation Law for Generalization Performance
Overview
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Integrity signals
Registry
Cites
Statistics
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Claims the paper makes
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Self-check
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Citations
Cites
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
Valiant, L. G. (1984) · Communications of the ACM · doi:10.1145/1968.1972 · Cited by 3,279
Schaffer, C. (1993) · Machine Learning · doi:10.1023/a:1022653209073 · Cited by 310
Self-citation
Cited by
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
The Lack of A Priori Distinctions Between Learning Algorithms
Wolpert, D. H. (1996) · Neural Computation · doi:10.1162/neco.1996.8.7.1341 · Cited by 1,647
A perspective view and survey of meta-learning
Vilalta, R., & Drissi, Y. (2002) · Artificial Intelligence Review · doi:10.1023/a:1019956318069 · Cited by 1,108
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Murthy, S. K. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009744630224 · Cited by 991
The Role of Occam's Razor in Knowledge Discovery
Domingos, P. (1999) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009868929893 · Cited by 459
Metadata
- Authors
- Schaffer, C.
- Venue
- Machine Learning Proceedings 1994
- Publisher
- Elsevier
- Published
- 1994
- Pages
- 259-265
- OpenAlex
- W2107844279
- Cited by
- 335
- References
- 3
- FWCI
- 29.84
- Type
- book chapter
- Language
- en
- Open access
- closed
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Conservation Law for Generalization Performance. https://app.cochat.ai/papers/10.1016/b978-1-55860-335-6.50039-8
- The paper
- Schaffer, C. (1994). A Conservation Law for Generalization Performance. Machine Learning Proceedings 1994. https://doi.org/10.1016/b978-1-55860-335-6.50039-8
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.
