The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Recursive Partitioning Decision Rule for Nonparametric Classification
Abstract
A new criterion for deriving a recursive partitioning decision rule for nonparametric classification is presented. The criterion is both conceptually and computationally simple, and can be shown to have strong statistical merit. The resulting decision rule is asymptotically Bayes' risk efficient. The notion of adaptively generated features is introduced and methods are presented for dealing with missing features in both training and test vectors.
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Citations
Cites
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
Cited by
Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Clinical Prediction Rules: Applications and Methodological Standards
Wasson, J. H., Sox, H. C., Neff, R. K., & Goldman, L. (1985) · New England Journal of Medicine · doi:10.1056/nejm198509263131306 · Cited by 1,357
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Murthy, S. K. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009744630224 · Cited by 991
Methodologic Standards for the Development of Clinical Decision Rules in Emergency Medicine
STIELL, I., & WELLS, G. (1999) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(99)70309-4 · Cited by 571
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Wang, D., Lin, J., Cui, P., Jia, Q., Wang, Z., Fang, Y., Yu, Q., Zhou, J., Yang, S., & Qi, Y. (2020) · arXiv · doi:10.48550/arxiv.2003.01171 · Cited by 476
“Specifically, financial scenario also concerns about the KS [15], which is a metric to measure the risk differentiation of the model.”
Background
Metadata
- Authors
- Friedman
- Venue
- IEEE Transactions on Computers
- Published
- 1977-04
- Volume
- C-26
- Issue
- 4
- Pages
- 404-408
- ISSN
- 0018-9340 (ISSN-L)
- 1557-9956
- 2326-3814
- OpenAlex
- W2017900294
- Cited by
- 368
- References
- 1
- FWCI
- 24.56
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
