The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
When won't membership queries help?
Open accessAbstract
We investigate cryptographic limitations on the power of membership queries to help with concept learning.
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Citations
Cites
The Strength of Weak Learnability
Schapire, R. E. (1990) · Machine Learning · doi:10.1007/bf00116037 · Cited by 4,600
Bennett, C. H., & Gill, J. (1981) · SIAM Journal on Computing · doi:10.1137/0210008 · Cited by 381
Cited by
Cryptographic limitations on learning Boolean formulae and finite automata
Kearns, M., & Valiant, L. (1994) · Journal of the ACM · doi:10.1145/174644.174647 · Cited by 733
Computational and evolutionary aspects of language
Nowak, M. A., Komarova, N. L., & Niyogi, P. (2002) · Nature · doi:10.1038/nature00771 · Cited by 444
Number-theoretic constructions of efficient pseudo-random functions
Naor, M., & Reingold, O. (2002) · Proceedings 38th Annual Symposium on Foundations of Computer Science · doi:10.1109/sfcs.1997.646134 · Cited by 353
Cryptographic Primitives Based on Hard Learning Problems
Blum, A., Furst, M., Kearns, M., & Lipton, R. J. (1994) · Lecture Notes in Computer Science · doi:10.1007/3-540-48329-2_24 · Cited by 332
Guest Column: A Survey of Quantum Learning Theory
Arunachalam, S., & de Wolf, R. (2017) · ACM SIGACT News · doi:10.1145/3106700.3106710 · Cited by 152
Metadata
- Authors
- Angluin, D., & Kharitonov, M.
- Venue
- Proceedings of the twenty-third annual ACM symposium on Theory of computing - STOC '91
- Publisher
- ACM Press
- Published
- 1991
- Pages
- 444-454
- OpenAlex
- W2018908820
- Cited by
- 190
- References
- 2
- FWCI
- 14.26
- Type
- conference paper
- 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.
Statistics and arithmetic are recomputed, not judged.
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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: When won't membership queries help? https://app.cochat.ai/papers/10.1145/103418.103420
- The paper
- Angluin, D., & Kharitonov, M. (1991). When won't membership queries help? Proceedings of the twenty-third annual ACM symposium on Theory of computing - STOC '91. https://doi.org/10.1145/103418.103420
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.