The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimating attributes: Analysis and extensions of RELIEF
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Citations
Cites
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Research works printed but not linked: 7
- Hunt, E., Martin, J. & Stone, P.: Experiments in Induction. New York: Academic Press 1966
- Kira, K. & Rendell, L.: A practical approach to feature selection. In: Proc. Intern. Conf. on Machine Learning. (Aberdeen, July 1992) D. Sleeman & P. Edwards (eds.), Morgan Kaufmann 1992, pp. 249–256
- Kira K. & Rendell L.: The feature selection problem: traditional methods and new algorithm. In: Proc. AAAI'92. San Jose, CA, July 1992
- Kononenko I., Bratko I., Roškar E.: Experiments in inductive learning of medical diagnostic rules. In: Proc. International School for the Synthesis of Expert Knowledge Workshop. Bled, Slovenia, August 1984.
- Kononenko I.: Semi-naive Bayesian classifier. In: Proc. European Working Session on Learning, (Porto, March 1991), Y. Kodratoff (ed.), Springer Verlag 1991, pp.206–219 · DOI · Paper page
- Mantaras R.L.: ID3 Revisited: A distance based criterion for attribute selection. In: Proc. Int. Symp. Methodologies for Intelligent Systems. Charlotte, North Carolina, U.S.A., Oct. 1989
- Smyth P. & Goodman R.M.: Rule induction using information theory. In. G. Piatetsky-Shapiro & W. Frawley (eds.): Knowledge Discovery in Databases. MIT Press 1990 · DOI
Cited by
(1998) · Cited by 3,476
Theoretical and Empirical Analysis of ReliefF and RReliefF
Robnik-Šikonja, M., & Kononenko, I. (2003) · Machine Learning · doi:10.1023/a:1025667309714 · Cited by 3,025
Self-citationApplications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997
Irrelevant Features and the Subset Selection Problem
John, G. H., Kohavi, R., & Pfleger, K. (1994) · Machine Learning Proceedings 1994 · doi:10.1016/b978-1-55860-335-6.50023-4 · Cited by 2,368
Relief-based feature selection: Introduction and review
Urbanowicz, R. J., Meeker, M., La Cava, W., Olson, R. S., & Moore, J. H. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.07.014 · Cited by 1,311
Metadata
- Authors
- Kononenko, I.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1994
- Pages
- 171-182
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1808644423
- Cited by
- 2,958
- References
- 1
- FWCI
- 14.99
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kononenko, I. (1994). Estimating attributes: Analysis and extensions of RELIEF. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-57868-4_57
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.
