The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Combining SVMs with Various Feature Selection Strategies
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
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
Self-citationGene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning · doi:10.1023/a:1012487302797 · Cited by 9,954
Cited by
EEG-Based Emotion Recognition in Music Listening
Lin, Y.-P., Wang, C.-H., Jung, T.-P., Wu, T.-L., Jeng, S.-K., Duann, J.-R., & Chen, J.-H. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2048568 · Cited by 1,021
SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
Sanz, H., Valim, C., Vegas, E., Oller, J. M., & Reverter, F. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2451-4 · Cited by 804
Lin, H., Deng, E.-Z., Ding, H., Chen, W., & Chou, K.-C. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1019 · Cited by 508
Analysis of machine learning techniques for heart failure readmissions
Mortazavi, B. J., Downing, N. S., Bucholz, E. M., Dharmarajan, K., Manhapra, A., Li, S.-X., Negahban, S. N., & Krumholz, H. M. (2016) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.116.003039 · Cited by 401
Using support vector machine with a hybrid feature selection method to the stock trend prediction
Lee, M.-C. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.02.038 · Cited by 302
Metadata
- Authors
- Chen, Y.-W., & Lin, C.-J.
- Venue
- Studies in Fuzziness and Soft Computing
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008-11-15
- Pages
- 315-324
- ISSN
- 1434-9922 (ISSN-L)
- OpenAlex
- W1484777458
- Cited by
- 980
- References
- 5
- FWCI
- 90.60
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Chen, Y.-W., & Lin, C.-J. (2008). Combining SVMs with Various Feature Selection Strategies. Studies in Fuzziness and Soft Computing. https://doi.org/10.1007/978-3-540-35488-8_13
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.
