Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

Research on Semi-supervised Classification with an Ensemble Strategy

Authors
Zhanhao Han, Shiqun Yin
Corresponding Author
Zhanhao Han
Available Online December 2016.
DOI
10.2991/icsma-16.2016.119How to use a DOI?
Keywords
sentiment classification; semi-supervised learning; ensemble learning
Abstract

The classification approach based on semi-supervised learning, which is based on small sample sizes marked on the sample by means of a non-labeled improve the classification performance. In order to improve the ability of semi-supervised learning, this paper presents an approach based on the basis of the consistency of the label, the integration of two mainstream semi-supervised classification method is used: Collaborative training methods and label propagation method based on random feature subspace. First, the two semi-supervised learning methods to train the classifier to label unlabeled samples; secondly, select the marked sample rate without labels, so as to obtain a semi-supervised learning method is better than any of the classification results.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-274-9
ISSN
1951-6851
DOI
10.2991/icsma-16.2016.119How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhanhao Han
AU  - Shiqun Yin
PY  - 2016/12
DA  - 2016/12
TI  - Research on Semi-supervised Classification with an Ensemble Strategy
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 681
EP  - 684
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.119
DO  - 10.2991/icsma-16.2016.119
ID  - Han2016/12
ER  -