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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| Format: | Artigo |
| Jezik: | Inglês |
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Vilnius University Press
2008-12-01
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| Serija: | Lietuvos Matematikos Rinkinys |
| Teme: | |
| Online dostop: | https://www.journals.vu.lt/LMR/article/view/18114 |
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