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Stochastic approximation algorithms for support vector machines semi-supervised binary classification

In this paper,we consider the problem of semi-supervisedbinary classificationby Support Vector Machines (SVM). This problem is explored as an unconstrained and non-smooth optimization task when part of the available data is unlabelled. We apply non-smooth optimization techniques to classification pr...

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Bibliografske podrobnosti
Glavni avtor: Vaida Bartkutė-Norkūnienė
Format: Artigo
Jezik:Inglês
Izdano: Vilnius University Press 2008-12-01
Serija:Lietuvos Matematikos Rinkinys
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Online dostop:https://www.journals.vu.lt/LMR/article/view/18114
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