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Support Vector Machines

Li Li
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Li Li: Tsinghua University

Chapter Chapter 2 in Selected Applications of Convex Optimization, 2015, pp 17-52 from Springer

Abstract: Abstract In this chapter, we study support vector machines (SVM). We will see that optimization methodology plays an important role in building and training of SVM.

Keywords: Study Support Vector Machine (SVM); Support Vector Data Description (SVDD); Lagrangian Dual Problem; Smaller Quadratic Programming Problems; Decomposition-based Methods (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-662-46356-7_2

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DOI: 10.1007/978-3-662-46356-7_2

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