The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Support Vector Machines in R
Open accessAbstract
Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language. Currently four R packages contain SVM related software. The purpose of this paper is to present and compare these implementations.
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Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Estimating the Support of a High-Dimensional Distribution
Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001) · Neural Computation · doi:10.1162/089976601750264965 · Cited by 6,168
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Zhu, G., Li, Y., & Wen, P. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2303991 · Cited by 384
A practical solution to pseudoreplication bias in single-cell studies
Zimmerman, K. D., Espeland, M. A., & Langefeld, C. D. (2021) · Nature Communications · doi:10.1038/s41467-021-21038-1 · Cited by 356
Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques
Mostafa, M. M., & El-Masry, A. A. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.03.007 · Cited by 60
Agarwal, K., Shivpuri, R., Zhu, Y., Chang, T.-S., & Huang, H. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.12.026 · Cited by 54
Metadata
- Authors
- Karatzoglou, A., Meyer, D., & Hornik, K.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2006
- Volume
- 15
- Issue
- 9
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1768257245
- Cited by
- 592
- References
- 2
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- diamond
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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.