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A NOTE ON GENETIC ALGORITHMS FOR LARGE-SCALE FEATURE SELECTION
Overview
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Citations
Cited by
Floating search methods in feature selection
Pudil, P., Novovičová, J., & Kittler, J. (1994) · Pattern Recognition Letters · doi:10.1016/0167-8655(94)90127-9 · Cited by 3,098
Feature subset selection using a genetic algorithm
Yang, J., & Honavar, V. (1998) · IEEE Intelligent Systems · doi:10.1109/5254.671091 · Cited by 1,362
Normalized Mutual Information Feature Selection
Estevez, P. A., Tesmer, M., Perez, C. A., & Zurada, J. M. (2009) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2008.2005601 · Cited by 1,288
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
Abbasi, A., Chen, H., & Salem, A. (2008) · ACM Transactions on Information Systems · doi:10.1145/1361684.1361685 · Cited by 891
Zheng, B., Yoon, S. W., & Lam, S. S. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.08.044 · Cited by 549
Metadata
- Authors
- SIEDLECKI, W., & SKLANSKY, J.
- Venue
- Handbook of Pattern Recognition and Computer Vision
- Publisher
- WORLD SCIENTIFIC
- Published
- 1993-08
- Pages
- 88-107
- OpenAlex
- W2093799708
- Cited by
- 765
- References
- 0
- FWCI
- 12.60
- 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.
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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 NOTE ON GENETIC ALGORITHMS FOR LARGE-SCALE FEATURE SELECTION. https://app.cochat.ai/papers/10.1142/9789814343138_0005
- The paper
- SIEDLECKI, W., & SKLANSKY, J. (1993). A NOTE ON GENETIC ALGORITHMS FOR LARGE-SCALE FEATURE SELECTION. Handbook of Pattern Recognition and Computer Vision. https://doi.org/10.1142/9789814343138_0005
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.
