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A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
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Theoretical and Empirical Analysis of ReliefF and RReliefF
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Metadata
- Authors
- Wettschereck, D., Aha, D. W., & Mohri, T.
- Venue
- Artificial Intelligence Review
- Published
- 1997-02
- Volume
- 11
- Issue
- 1-5
- Pages
- 273-314
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W1827261456
- Cited by
- 717
- References
- 87
- FWCI
- 33.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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- Wettschereck, D., Aha, D. W., & Mohri, T. (1997). A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms. Artificial Intelligence Review. https://doi.org/10.1023/a%3A1006593614256
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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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