Tutorial on Support Vector Machine
Applied and Computational Mathematics
Volume 6, Issue 4-1, July 2017, Pages: 1-15
Received: Sep. 7, 2015; Accepted: Sep. 8, 2015; Published: Jun. 17, 2016
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Loc Nguyen, Sunflower Soft Company, Ho Chi Minh City, Vietnam
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Support vector machine is a powerful machine learning method in data classification. Using it for applied researches is easy but comprehending it for further development requires a lot of efforts. This report is a tutorial on support vector machine with full of mathematical proofs and example, which help researchers to understand it by the fastest way from theory to practice. The report focuses on theory of optimization which is the base of support vector machine.
Support Vector Machine, Optimization, Separating Hyperplane, Sequential Minimal Optimization
To cite this article
Loc Nguyen, Tutorial on Support Vector Machine, Applied and Computational Mathematics. Special Issue: Some Novel Algorithms for Global Optimization and Relevant Subjects. Vol. 6, No. 4-1, 2017, pp. 1-15. doi: 10.11648/j.acm.s.2017060401.11
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