A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm

► A class of smooth S3VMs (S4VMs) is proposed. ► The S4VMs add no new variables and constraints compared to the S3VMs. ► A general framework for solving S4VMs is constructed based on DC programming. ► The resulting DCA converges and needs solving one linear or quadratic programming. Owing to its wid...

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Veröffentlicht in:	Knowledge-based systems Jg. 41; S. 1 - 7
Hauptverfasser:	Yang, Liming, Wang, Laisheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2013
Schlagworte:	Algorithms DC programming Direct current Knowledge base Mathematical analysis Mathematical models Programming Semi-supervised learning Semi-supervised SVM Smoothing technique Strategy Support vector machine Support vector machines Semi-supervised SVM DC programming Smoothing technique Support vector machine Semi-supervised learning
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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