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Authors: Stanislaw Jankowski ; Zbigniew Szymański and Ewa Piatkowska-Janko

Affiliation: Warsaw University of Technology, Poland

Keyword(s): semi-supervised learning, virtual leave-one-out, least-squares support vector machine

Abstract: We present a new semi-supervised learning system based on least-squares support vector machine classifier. We apply the virtual leave-one-out residuals as criterion for selection of the most influential data for label switching test. The analytic form of the solution enables to obtain a high gain of the computational cost. The quality of the method was tested on the artificial data set – two moons problem and on the real signal-averaged ECG data set. The correct classification score is better as compared to other methods.

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Paper citation in several formats:
Jankowski, S.; Szymański, Z. and Piatkowska-Janko, E. (2009). Semi-Supervised Least-Squares Support Vector Classifier based on Virtual Leave One Out Residuals. In Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems (ICEIS 2009) - PRIS; ISBN 978-989-8111-89-0, SciTePress, pages 71-80. DOI: 10.5220/0002196400710080

@conference{pris09,
author={Stanislaw Jankowski. and Zbigniew Szymański. and Ewa Piatkowska{-}Janko.},
title={Semi-Supervised Least-Squares Support Vector Classifier based on Virtual Leave One Out Residuals},
booktitle={Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems (ICEIS 2009) - PRIS},
year={2009},
pages={71-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002196400710080},
isbn={978-989-8111-89-0},
}

TY - CONF

JO - Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems (ICEIS 2009) - PRIS
TI - Semi-Supervised Least-Squares Support Vector Classifier based on Virtual Leave One Out Residuals
SN - 978-989-8111-89-0
AU - Jankowski, S.
AU - Szymański, Z.
AU - Piatkowska-Janko, E.
PY - 2009
SP - 71
EP - 80
DO - 10.5220/0002196400710080
PB - SciTePress

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