The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Nature Of Statistical Learning Theory~
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Citations
Cites
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Cited by
A comprehensive survey on support vector machine classification: Applications, challenges and trends
Cervantes, J., Garcia-Lamont, F., Rodríguez-Mazahua, L., & Lopez, A. (2020) · Neurocomputing · doi:10.1016/j.neucom.2019.10.118 · Cited by 2,381
Neurobiology of Schemas and Schema-Mediated Memory
Gilboa, A., & Marlatte, H. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.04.013 · Cited by 742
Choubin, B., Moradi, E., Golshan, M., Adamowski, J., Sajedi-Hosseini, F., & Mosavi, A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.10.064 · Cited by 787
Probability Models for Open Set Recognition
Scheirer, W. J., Jain, L. P., & Boult, T. E. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2321392 · Cited by 630
Reliability of dissimilarity measures for multi-voxel pattern analysis
Walther, A., Nili, H., Ejaz, N., Alink, A., Kriegeskorte, N., & Diedrichsen, J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.012 · Cited by 560
Metadata
- Authors
- Cherkassky, V.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 1997-11
- Volume
- 8
- Issue
- 6
- Pages
- 1564-1564
- ISSN
- 1045-9227 (ISSN-L)
- 1941-0093
- OpenAlex
- W2167453047
- Cited by
- 919
- References
- 1
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cherkassky, V. (1997). The Nature Of Statistical Learning Theory~. IEEE Transactions on Neural Networks. https://doi.org/10.1109/tnn.1997.641482
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.
