The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Support Vector Machine Solvers
Abstract
Considerable efforts have been devoted to the implementation of efficient optimization method for solving the Support Vector Machine dual problem. This document proposes an historical perspective and and in depth review of the algorithmic and computational issues associated with this problem.
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Citations
Cites
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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-citationThe Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
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A training algorithm for optimal margin classifiers
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Estimating the Support of a High-Dimensional Distribution
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Fast Training of Support Vector Machines Using Sequential Minimal Optimization
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Making Large-Scale SVM Learning Practical
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Multiple instance learning: A survey of problem characteristics and applications
Carbonneau, M.-A., Cheplygina, V., Granger, E., & Gagnon, G. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2017.10.009 · Cited by 740
“For example, the computational complexity of 1915 an SVM is between O(n2) and O(n3) when using traditional QP and LP solvers [180], where n is the number of instances.”
MethodEfficient Additive Kernels via Explicit Feature Maps
Vedaldi, A., & Zisserman, A. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.153 · Cited by 688
A Survey of Machine Learning for Indoor Positioning
Nessa, A., Adhikari, B., Hussain, F., & Fernando, X. N. (2020) · IEEE Access · doi:10.1109/access.2020.3039271 · Cited by 269
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Zhao, S., Cui, J., Sheng, Y., Dong, Y., Liang, X., Chang, E. I., & Xu, Y. (2021) · arXiv · doi:10.48550/arxiv.2103.10428 · Cited by 224
Embedded Intelligence on FPGA: Survey, Applications and Challenges
Seng, K. P., Lee, P. J., & Ang, L. M. (2021) · Electronics · doi:10.3390/electronics10080895 · Cited by 105
Metadata
- Authors
- Bottou, L., & Lin, C.-J.
- Venue
- Large-Scale Kernel Machines
- Publisher
- The MIT Press
- Published
- 2007-08-17
- Pages
- 1-28
- OpenAlex
- W2546945975
- Cited by
- 336
- References
- 43
- FWCI
- 12.03
- Type
- book chapter
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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