ITM Web of Conferences
Volume 6, 20166th Seminar on Industrial Control Systems: Analysis, Modeling and Computation
|Number of page(s)||5|
|Published online||25 March 2016|
Development of the SVM classifier ensemble for the classification accuracy increase
1 Moscow Technological Institute, 119334 Moscow, Russia
2 Ryazan State Radio Engineering University, 390005 Ryazan, Russia
a Corresponding author: email@example.com
The problem of improving the classification accuracy using the SVM classifier ensemble has been considered. This paper defines the rules for the selection of individual SVM-classifiers used in the future for the creation of an ensemble and the strategies for the integration of ensemble members.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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