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Support Vector Machines
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Citations
Cited by
Three-dimensional integration of nanotechnologies for computing and data storage on a single chip
Shulaker, M. M., Hills, G., Park, R. S., Howe, R. T., Saraswat, K., Wong, H.-S. P., & Mitra, S. (2017) · Nature · doi:10.1038/nature22994 · Cited by 866
Fadlullah, Z. M., Tang, F., Mao, B., Kato, N., Akashi, O., Inoue, T., & Mizutani, K. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2707140 · Cited by 810
Xie, J., Yu, F. R., Huang, T., Xie, R., Liu, J., Wang, C., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2866942 · Cited by 700
Big Data: Deep Learning for financial sentiment analysis
Sohangir, S., Wang, D., Pomeranets, A., & Khoshgoftaar, T. M. (2018) · Journal of Big Data · doi:10.1186/s40537-017-0111-6 · Cited by 390
Kessler, R. C., Hwang, I., Hoffmire, C. A., McCarthy, J. F., Petukhova, M. V., Rosellini, A. J., Sampson, N. A., Schneider, A. L., Bradley, P. A., Katz, I. R., et al. (2017) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1575 · Cited by 209
Behavioral Analysis of Insider Threat: A Survey and Bootstrapped Prediction in Imbalanced Data
Azaria, A., Richardson, A., Kraus, S., & Subrahmanian, V. S. (2014) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2014.2377811 · Cited by 133
Bigorra, L., Merino, A., Alférez, S., & Rodellar, J. (2017) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.22024 · Cited by 53
Murrieta-Flores, P., Vega-Sánchez, R., Sánchez-Diaz, A., & Cruz-Ríos, H. F. (2025) · STAR: Science & Technology of Archaeological Research · doi:10.1080/20548923.2025.2484828 · Cited by 7
Role of Artificial Intelligence in Cognitive Radio Networks
Singhal, S., Gupta, S., & Sinha, A. (2019) · Advances in Wireless Technologies and Telecommunication · doi:10.4018/978-1-5225-5354-0.ch014 · Cited by 3
Metadata
- Authors
- Steinwart, I., & Christmann, A.
- Venue
- Information Science and Statistics
- Publisher
- Springer New York
- Published
- 2008
- ISSN
- 1613-9011 (ISSN-L)
- 2197-4128
- OpenAlex
- W3141455185
- Cited by
- 654
- References
- 0
- FWCI
- 0.52
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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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.
