The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Choosing Multiple Parameters for Support Vector Machines
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Self-citationThe Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Self-citation
Cited by
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Multiple kernel learning, conic duality, and the SMO algorithm
Bach, F. R., Lanckriet, G. R. G., & Jordan, M. I. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015424 · Cited by 1,453
Rathore, S., Habes, M., Iftikhar, M. A., Shacklett, A., & Davatzikos, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.057 · Cited by 622
Trajectory-Based Anomalous Event Detection
Piciarelli, C., Micheloni, C., & Foresti, G. L. (2008) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2008.2005599 · Cited by 532
Gradient-based Hyperparameter Optimization through Reversible Learning
Maclaurin, D., Duvenaud, D., & Adams, R. P. (2015) · arXiv · doi:10.48550/arxiv.1502.03492 · Cited by 509
True Few-Shot Learning with Language Models
Perez, E., Kiela, D., & Cho, K. (2021) · arXiv · doi:10.48550/arxiv.2105.11447 · Cited by 226
Hyperparameter optimization with approximate gradient
Pedregosa, F. (2016) · arXiv · doi:10.48550/arxiv.1602.02355 · Cited by 217
Pedestrian Recognition and Tracking Using 3D LiDAR for Autonomous Vehicle
Wang, H., Wang, B., Liu, B., Meng, X., & Yang, G. (2017) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2016.11.014 · Cited by 209
Kragel, P. A., & LaBar, K. S. (2013) · Emotion · doi:10.1037/a0031820 · Cited by 134
A Deep Structured Model with Radius–Margin Bound for 3D Human Activity Recognition
Lin, L., Wang, K., Zuo, W., Wang, M., Luo, J., & Zhang, L. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-015-0876-z · Cited by 104
Kruppa, J., Liu, Y., Biau, G., Kohler, M., König, I. R., Malley, J. D., & Ziegler, A. (2014) · Biometrical Journal · doi:10.1002/bimj.201300068 · Cited by 97
Confidence-based classifier design
Li, M., & Sethi, I. K. (2006) · Pattern Recognition · doi:10.1016/j.patcog.2006.01.010 · Cited by 61
Chen, Z., Liu, X., Yang, Q., Wang, Y.-J., Miao, K., Gong, Z., Yu, Y., Leonov, A., Liu, C., Feng, Z., et al. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.1671 · Cited by 43
Metadata
- Authors
- Chapelle, O., Vapnik, V., Bousquet, O., & Mukherjee, S.
- Venue
- Machine Learning
- Published
- 2002-01
- Volume
- 46
- Issue
- 1-3
- Pages
- 131-159
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2158001550
- Cited by
- 2,206
- References
- 2
- FWCI
- 68.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
