The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Genetic algorithms as a strategy for feature selection
Abstract
Genetic algorithms have been created as an optimization strategy to be used especially when complex response surfaces do not allow the use of better‐known methods (simplex, experimental design techniques, etc.). This paper shows that these algorithms, conveniently modified, can also be a valuable tool in solving the feature selection problem. The subsets of variables selected by genetic algorithms are generally more efficient than those obtained by classical methods of feature selection, since they can produce a better result by using a lower number of features.
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Citations
Cites
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
Genetic Algorithms and Machine Learning
Goldberg, D. E., & Holland, J. H. (1988) · Machine Learning · doi:10.1023/a:1022602019183 · Cited by 3,193
Cited by
Eriksson, L., Jaworska, J., Worth, A. P., Cronin, M. T. D., McDowell, R. M., & Gramatica, P. (2003) · Environmental Health Perspectives · doi:10.1289/ehp.5758 · Cited by 1,325
Genetic algorithms applied to feature selection in PLS regression: how and when to use them
Leardi, R., & Lupiáñez González, A. (1998) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(98)00051-3 · Cited by 759
Self-citationBig data and artificial intelligence modeling for drug discovery
Zhu, H. (2020) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010919-023324 · Cited by 455
Genetic algorithms in chemometrics and chemistry: a review
Leardi, R. (2001) · Journal of Chemometrics · doi:10.1002/cem.651 · Cited by 397
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Metadata
- Authors
- Leardi, R., Boggia, R., & Terrile, M.
- Venue
- Journal of Chemometrics
- Publisher
- Wiley
- Published
- 1992-09
- Volume
- 6
- Issue
- 5
- Pages
- 267-281
- ISSN
- 0886-9383 (ISSN-L)
- 1099-128X
- OpenAlex
- W2015870870
- Cited by
- 828
- References
- 2
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Leardi, R., Boggia, R., & Terrile, M. (1992). Genetic algorithms as a strategy for feature selection. Journal of Chemometrics. https://doi.org/10.1002/cem.1180060506
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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