The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Abstract
This article points out an important source of inefficiency in Platt's sequential minimal optimization (SMO) algorithm that is caused by the use of a single threshold value. Using clues from the KKT conditions for the dual problem, two threshold parameters are employed to derive modifications of SMO. These modified algorithms perform significantly faster than the original SMO on all benchmark data sets tried.
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“In high- or infinite-dimensional space, a support vector machine constructs a hyper-plane or set of hyper-planes.”
From Machine learning: Algorithms, real-world applications and research directions (2021) · cites this paper as [56]
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Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Research works printed but not linked: 1
- 10.1080/10556789208805504 · DOI · Paper page
Cited by
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
Estimating the Support of a High-Dimensional Distribution
Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001) · Neural Computation · doi:10.1162/089976601750264965 · Cited by 6,168
Machine learning: Algorithms, real-world applications and research directions
Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00592-x · Cited by 5,583
Rokach, L. (2010) · Artificial Intelligence Review · doi:10.1007/s10462-009-9124-7 · Cited by 2,657
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
Metadata
- Authors
- Keerthi, S. S., Shevade, S. K., Bhattacharyya, C., & Murthy, K. R. K.
- Venue
- Neural Computation
- Publisher
- MIT Press - Journals
- Published
- 2001-03-01
- Volume
- 13
- Issue
- 3
- Pages
- 637-649
- ISSN
- 0899-7667
- 1530-888X
- Cited by
- 1,318
- References
- 1
- Language
- en
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- Keerthi, S. S., Shevade, S. K., Bhattacharyya, C., & Murthy, K. R. K. (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. https://doi.org/10.1162/089976601300014493
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