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

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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Bibliographic Details
Main Author: Vaida Bartkutė-Norkūnienė
Format: Article
Language:English
Published: Vilnius University Press 2008-12-01
Series:Lietuvos Matematikos Rinkinys
Subjects:
support vector machine
semi-supervised classification
stochastic approximation
Online Access:https://www.journals.vu.lt/LMR/article/view/18114

Internet

https://www.journals.vu.lt/LMR/article/view/18114

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